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9,890 | https://devpost.com/software/covid-19-estimation-online-test-based-on-lung-sound | Inspiration
Inspired from
https://voca.ai/corona-virus/
What it does
COVID-19 Sound Classifier
How I built it
Using ml5.js and p5.js function for classifying sound. Train data using the Teachable Machine
Challenges I ran into
Low accurate and has not been scientifically tested
Accomplishments that I'm proud of
This is an alternative approach to estimating COVID-19
What I learned
Sound classification can be used in other symptoms
What's next for COVID-19 Estimation Online Test Based on Lung Sound
Scientifically testing and built it in an embedded system
Built With
ml5js
p5js
Try it out
bit.ly
github.com | Covid-19 Estimation Online Test Based on Lung Sound | Covid-19 sound classifier project | ['Rachmad Imam Tarecha'] | [] | ['ml5js', 'p5js'] | 128 |
9,890 | https://devpost.com/software/covid-xn8iow | Inspiration
In November 2018, we competed in the Congressional App Challenge in U.S. Representative Eddie Bernice Johnson’s congressional district. Since we had numerous relatives who have Alzheimer’s Disease or other forms of dementia, we were inspired to combine our passions in community service and technology to design an app for Alzheimer’s patients. Following two years of refinement and development, we won our district’s Congressional App Challenge. The U.S. House of Representatives invited us to go to Washington, DC, to present this app to the U.S. House of Representatives (
link
.)
The rising impact of the COVID-19 outbreak on a community, regional, national, and international level inspired us to use our mobile app development experiences to find a solution that addresses major areas of the problem. As children, we realized that isolation and social distancing could lead to stressful situations for numerous individuals, particularly children. As a result of this, we learned that children who live in an abusive situation are at more substantial risk. This risk is especially significant due to the isolation that COVID-19 mandates. We realized that community members need to have a greater awareness of the signs and symptoms of child abuse and neglect during this stressful time and the numerous resources available to the children who fall victim to subsequent maltreatment. This risk, experts have shown, could result from isolation, lack of answers, lack of structure to the day, and the lack of things to look forward to - all effects of COVID-19.
As students, we believe we can impact society, big or small, with our idea. Technology is indeed the future, and we need to make sure that we adopt the tools that we use to help, entertain, to assist child abuse victims in being very reflective of these advances. Furthermore, we hope to use our application to inspire and encourage other involved students in our district and even around the state to get involved in coding and also develop their apps for problems that are personal to them. If we were to win the competition, we plan to continue to use our platform to help further encourage and inspire others and show other legislators the importance of the problem we are trying to address.
What it does
Our application, Coaware (COVID + Aware), contains a questionnaire/checklist consisting of eight questions designed in collaboration with child abuse prevention experts such as the Baltimore Children's Advocacy Center.
The checklist contains a different method for users to organize their thoughts but contains the same question format. Next, the app provides an option to provide the user with child abuse prevention hotlines or children's advocacy centers. If the user toggles this option, the app will provide these resources based on their location.
However, according to many experts, Coaware's most important feature is its generation of
email logs
. These logs provide users with a method to organize their thoughts, allowing them to access a particular child's responses from weeks or even months. When the user reports child abuse, they can detail previous dates alongside specific symptoms of child abuse the child was exhibiting at the time.
How we built it
We built our application using Java and XML in Android Studio. We used a relative layout format with tab-based fragments for the first tab and a corresponding layout design with intent fillers for the second tab’s functionality. For the user interface, we utilized AAA contrast for the vast majority of the app to enhance usability and readability for all users.
Challenges we ran into
Our first significant difficulty was to make the application and user-interface simple enough to be operated by any individual. We had to navigate and test out various fonts, image sizes, color combinations, and table setups to make sure that the app was clean and simple to operate without compromising the usefulness of its features.
The second technical challenge we faced in creating the application was making sure that it would be functional across various Android Platforms. The problems that we ran into would vary from device to device, so it was challenging to come up with a solution that worked for every single one and didn’t create problems of its own. We ran several tests on a variety of Android emulators and tested the application on a wide array of personal devices and were eventually able to come up with a solution that worked across the boards. This process was eye-opening for us, as we never realized how seemingly small changes could have drastic impacts on different devices.
The final challenge we are currently dealing with is getting Coaware into the hands of the people who need it the most. We are currently in discussions with schools and children's advocacy centers to accomplish this task.
Accomplishments that we’re proud of
Some accomplishments that we’re proud of deal with our app for Alzheimer’s patients, AlzBuddy, which inspired us to make this app. The U.S. House of Representatives invited us to showcase AlzBuddy to them in the U.S. Capitol Building. Individually, numerous State and National Congresspeople have invited us to demonstrate our application. Fox 4 News also interviewed us (
link
). AlzBuddy was also named the 1st Runner-Up in the national Diamond Challenge at the Sam Houston State University Pitch Location. We are also proud to have many downloads after approval of our application onto the Google Play Store. We want to use our experience and success to continue to propel Coaware to help children globally. Additionally, our group was named Conrad Innovators by the Conrad Foundation for both AlzBuddy and Coaware.
What’s next for Coaware App
Overall we are delighted with our final product, and we were able to make a lot of improvements from the last app we created to this one. That said, we would always love to be able to improve the app even more, and we know that there are improvements to be made, we just didn’t have the time to make all of them. We know that we can always improve, incorporate more valuable feedback, and learn from our mistakes. One challenge that we would have to face if we decided to develop the app, however, would be maintaining a clean, simple interface despite having more functions. In this specific field, we have to understand that less is sometimes more. Potential technological additions will include modules and relaxing games for child abuse victims, networks for victims to share their stories in a peer-network, as well as possible chatting services within the app in partnership with abuse hotlines.
We are currently in the process of publishing our application in the Google Play Store as well as developing an iOS version of our app. In addition to this, we are working on collaborating with various non-profit organizations that specialize in child abuse awareness at a community and regional level. We have objectively networked with various legislators to start district initiatives and launches of our application.
Success in this global hackathon will help us launch Coaware worldwide to protect the thousands of children that fall victim to child abuse.
We are also looking to expand our app to other areas, such as domestic violence, whose rates, unfortunately, skyrocketed during the coronavirus pandemic.
Built With
android-studio
java
xml
Try it out
play.google.com | Coaware | Our application, Coaware (COVID19 + Aware), has functionalities designed for emergency situations regarding child abuse prevention, a rising social issue due to increased isolation from COVID-19. | ['A B', 'Vedant Tapiavala'] | [] | ['android-studio', 'java', 'xml'] | 129 |
9,890 | https://devpost.com/software/covengers | Arm the doctors to fight Pandemics
Inspiration
Prepare the world by building an infrastructure to fight Pandemics. The world has been prepared for wars but not for Pandemics. COVID19 isn't the first and wont be the last. We need to use this time and situation to build infrastructures that would empower us to tackle any epidemic/pandemic situation, now and in the future.
What it does
Global health data repository that informs doctors in real time about the best treatment option.
How I built it
Ideation in a hackathon
Team building- Recruiting people with complimenting skillets
Survey with doctors and hospitals in various nations- to understand flexibility in data
Challenges I ran into:
A worldwide initiative, every country has a different healthcare system and infrastructure, some more open than the other. It is therefore critical to start in pockets where we generate most partnerships, show positive case studies and move on.
Accomplishments that I'm proud of
Interest from Amazon Web Services in partnership
WHO support
The framework could also be used to provide a central framework for clinical trials across the globe.
What I learned
You need to take the first step to solve a problem and you keep walking towards a solution.
What's next for COVENGERS
Partnerships with different countries/hospitals/doctors to bring it into action.
Built With
data
python-and-javascript-for-programming
r
Try it out
covengers.netlify.app | COVENGERS | A global health data repository that informs clinicians about treatment options in real time | ['nimi vashi', 'Manish Gupta', 'Shaishav Vashi'] | [] | ['data', 'python-and-javascript-for-programming', 'r'] | 130 |
9,890 | https://devpost.com/software/ghost-mannequin-service | Ghost Mannequin
Ghost Mannequin is one type of image editing service which doing product separate from product skeleton. This popular service of image editing and it's doing by Photoshop Pen tool. A Ghost Mannequin or invisible mannequin most of the garment items like shirts, trousers, jacket, cardigan, swimsuits, lingerie, etc. When a client sends us their work we are doing the as like a studio look. Even if he missing some parts of a photo we manage it provide final output.
Clipping Partner India (CPI) is a professional photo editing company located in the Indian subcontinent. We’re the best clipping path service provider including all over the post-production services like high-end retouching, eCommerce image editing, ghost mannequin, color correction, and other photoshop services for both media (Web & Print Media).
We’re working 18 hours a day with 2 different shifts and 6 days a week. But we work 7 days a week when our clients have a tight deadline. Because client satisfaction is our main goal.
The following are our most valued services:
» Clipping Path
» Multiple Clipping Path
» Background Removal
» Image Masking
» Shadow Effect
» Image Crop/Resizing
» Ghost Mannequin
» Photo Retouching
» Photo Editing Service
» eCommerce Image Editing
» Post Production
» Color Correction
» Photo Restoration
» Image Manipulation
» Raster to Vector etc.
Built With
design
Try it out
www.clippingpartnerindia.com | Ghost Mannequin Service | clipping path, photo editing, ghost mannequin, eCommerce product editing, logo design, background removal, image masking, drop shadow, color correction, vector design, cut out image, photoshop | ['MR Karim Reza'] | [] | ['design'] | 131 |
9,891 | https://devpost.com/software/shine-on-jena | Shine on, Jena!
Woran wir glauben - Woran wir anknüpfen
User Experience Bürgerstiftung
Neue Pfade gehen - User Flow Susi Sucher
Neue Pfade gehen - User Flow Frieda Freiwillig
Prototyp Engagementfinder
Anbindung an die Datenbank
Technischer Hintergrund zur Anbindung an die Datenbank Freinet Online
Mögliche zusätzliche Features
Auch nach Corona stark!
Unser Team von Shine on, Jena
Was uns inspiriert
Jetzt, mehr denn je, ist gesellschaftlicher Zusammenhalt gefragt. Jena ist eine Stadt, in der Engagement und Teilhabe gelebt werden. Wichtig dabei war immer der persönliche Kontakt. Nun ist die Herausforderung, dieses
Potenzial auch digital
zu aktivieren.
Was wir gelernt haben
Angebote transparent zu kommunizieren und Menschen für soziales Engagement zu gewinnen, erfordert
clevere und einladende digitale Formate
, die mit vielfältigen Inhalten gefüllt werden. Der
Engagementfinder
ist unsere #jenavsvirus Idee, die wir from scratch völlig neu erarbeitet haben.
Woran wir anknüpfen
Mit der Bürgerstiftung und der Freiwilligenagentur Jena werden bereits seit 2002 Freiwillige, Ehrenamtliche, Vereine und Unternehmen zusammengebracht, um vor Ort gemeinsam zu wirken.
Unser Ziel ist es diese
Strukturen zu optimieren und leicht online verfügbar zu machen
anstatt eine komplett neue Lösung zu implementieren.
Unsere Lösung auf den Punkt gebracht
Mithilfe des
Engagementfinders
bringt die Bürgerstiftung Jena motivierte Freiwillige und hilfesuchende Organisationen schnell und wirksam zusammen.
Initiativen werden gebündelt und
online auf bürgerfreundliche Weise
zugänglich gemacht.
Die Bürgerstiftung hat
weniger Aufwand
und wird an eine
zentrale Datenbank
stärker angebunden. Bereits in der
kommenden Woche
wird der Datenbankanbieter Freinet die Jenaer Datenbank entsprechend unserer Kategorievorschläge strukturieren. Die Einbindung auf die Seite der Bürgerstiftung kann dann
sofort
erfolgen.
Check.
Wie wir dahin gekommen sind
Trello
, um die Schritte, Arbeitspakete, Zuständigkeiten und Deadline abzustimmen und festzulegen
Mural
, um unsere Gedanken und Ideen festzuhalten
Google Drive
um gemeinsam an Powerpoint Slides und Excel Tabellen zu werkeln
Video Pad
um kreativ ein Pitch Video zu erstellen, dass Friedas Story und unseren Beitrag erklärt | 1_003_05_shineonjena | Jetzt, mehr denn je, ist gesellschaftlicher Zusammenhalt gefragt. Mithilfe des Engagementfinders werden motivierte Freiwillige & hilfesuchende Organisationen unkompliziert zusammengebracht. | ['Jennifer Kahnt', 'Stig Ludwig, Certified (PMP)®', 'Dana Strauß', 'Marie Beyer'] | [] | [] | 0 |
9,891 | https://devpost.com/software/1_003_04_risikogruppebesserunterstutzen | Durch ein Bündel an Maßnahmen (u.a. Bündelung der Hilfsangebote, Mut-Aktionen für Risikogruppen) sollen die Allgemeinbevölkerung und Risikogruppen geschützt und unterstützt werden. Eine soziale Teilhabe der Risikogruppen soll auch in Zeiten vom neuartigen Coronavirus SARS-CoV-2 bei schrittweiser Rücknahme der Corona-Schutzmaßnahmen für
• öffentliche Einrichtungen z. B. Schulen und Kitas
• Einzelhandelsgeschäfte
• Dienstleistungsgewerbe z. B. Friseure
• Gastronomie- und Hotelgewerbe in Jena
ermöglicht werden.
Try it out
www.jena-digital.de | 1_003_04_risikogruppebesserunterstützen | Risikogruppen schützen und unterstützen! Soziale Teilhabe ermöglichen in Zeiten vom neuartigen Coronavirus SARS-CoV-2 und schrittweiser Rücknahme der Corona-Schutzmaßnahmen durch die Regierung. | ['Sabine D'] | [] | [] | 1 |
9,891 | https://devpost.com/software/m-ein-videotagebuch-in-der-corona-pandemie | Inspiration
Meine zwölfjährige Tochter geht gern in die Schule und trifft sich regelmäßig mit Freunden. Die Wochen sind normalerweise gut ausgefüllt mit Unterricht, einem Gitarrenkurs, dem Training beim Tanztheater Jena und ab und an einer Runde TeBo.
“Homeschooling“
, so erfahren wir am Freitag, den 13. März 2020, steht bald auf dem Programm.
What it does
Das Videotagebuch mit dem Channel Namen „Anna-Sophie aus Jena“ wurde am 14.03.2020 auf YouTube ins Leben gerufen. Familienangehörigen, insbesondere Großeltern, sowie Freunden, Bekannten und Interessierten von unseren
Erlebnissen
zu erzählen ist das Anliegen.
Ziel ist es, in der Zeit von „Social Distancing“ in
Verbindung zu bleiben
und
Freude zu bereiten
.
How I built it
Mit relativ wenig Equipment
(nur Smartphone, + große Schwester) und ein paar Ideen (Anna-Sophie) werden die Filme erstellt.
Das Schneiden und Vertonen der Videos erfolgt ebenfalls direkt mit dem Smartphone.
Challenges I ran into
Masken für Jena schneidern
San Marcos, Partnerstadt in Nicaragua vorstellen
Gemeinsam Sport treiben (auf Skype)
Leckere Gerichte zaubern
Talentwettbewerb initiieren
Wandern mit der Familie
Neue Seiten von Jena entdecken
Accomplishments that I'm proud of
Alle
zwei Tage gibt es einen neuen Clip
. Bisher sind
18 Videos entstanden
. Auf Wunsch wird gegrüßt und es werden
Themen aus der Community aufgegriffen
.
What I learned
Dankbarkeit
und Freude von Followern und der 12-jährigen Youtuberin, vereinzelt Kritik, meist technischer Natur (z.B. Ton/ Lautstärkeregelung).
What's next for (M)ein Videotagebuch in der Corona-Pandemie
Das wird sich zeigen. Wir sind auf die angekündigten Lockerungen gespannt.
Hier geht’s zum Channel
https://www.youtube.com/channel/UCzcDxpb1J-3itQzhOZeUfTw
Built With
channel
life
video
youtube | (M)ein Videotagebuch in der Corona-Pandemie | Am 13. März erfahre ich, dass Schulen und Kitas ab der kommenden Woche in Jena geschlossen werden. „Wie wird das wohl werden?“, frage ich mich. Die Idee, ein Videotagebuch zu starten, war schnell da. | ['https://www.youtube.com/channel/UCzcDxpb1J-3itQzhOZeUfTw', 'Beate Gräf'] | [] | ['channel', 'life', 'video', 'youtube'] | 2 |
9,891 | https://devpost.com/software/1_003_02_hochvondercoronacouch | Wie können uns Gemeinschaften in Krisenzeiten dabei helfen, Isolations- und Zukunftsängste zu vermindern? Ist es möglich, die derzeit eingeschränkte soziale Interaktion durch digitale Lösungen zu "kompensieren"?
Ziel der Challenge ist es, geeignete Lösungsansätze zu generieren, die dabei unterstützen können, das gemeinsame Agieren von Gruppen zu fördern - "Partizipation statt Isolation"! | #1_003_02_hochvondercoronacouch | Digitale Lösungen zur Minderung von Zukunftsängsten und fehlender sozialer Interaktion | ['Stefanie B. Seitz', 'Sandra Hillesheim', 'Gerrit Walke', 'laurasimon92', 'Caroline Ellenberger', 'Alexander Gloria', 'Alina Herbi'] | [] | [] | 3 |
9,891 | https://devpost.com/software/1_003_07-kaufwodiebratwurstwachst-jena-fur-thruringen | Die Startseite
Warum wir anders sind!
Store wählen
Ein Beispiel Store
Daten eingeben!
Das Gutschein-Layout!
Macht mit! sharing is caring #localgutscheining
PROBLEM
Gemeinsam statt einsam!
Der Laden um die Ecke, die Lieblingsveranstaltung, unsere Gastro-Szene - sie alle brauchen uns gerade mehr denn je! Wir wollen ihnen helfen!
VISION
Was wäre, wenn wir unsere lokalen Läden durch das Kaufen von Gutscheinen trotz Corona unterstützen könnten?
Was wäre, wenn wir unseren Jenaer Locals damit beim Überleben helfen könnten - auch nach Corona?
DIE LÖSUNG
#localgutscheining - Die Gutscheinplattform aus Jena für Jena.
Gutscheine bringen den Locals jetzt das, was sie am Nötigsten brauchen - Geld zum Decken der laufenden Kosten.
Damit es noch Unternehmen gibt, wenn wir wieder was unternehmen können. Am besten mit Freunden.
ÜBER UNS
Hi! Wir sind das Team #localgutscheining und haben uns im Rahmen des Hackathons “Jena vs. Virus” kennen und mögen gelernt.
Wir betreiben diese Plattform ehrenamtlich, weil wir in Jena auch nach Corona noch unsere Locals vorfinden und mit Ihnen tolle Erlebnisse haben wollen.
Get in touch via Instagram!
link
Sneakpeak der mobilen Version von #localgutscheining
link
Built With
docker
java
mongodb
scss
spring-boot
typescript
vue.js
Try it out
www.instagram.com
github.com
github.com | 1_003_07 #localgutscheining | Wir sind eine Plattform aus Jena für Jena. Wir wollen, dass Jenaer Locals auch nach Corona noch für uns da sind, deswegen wollen wir jetzt für sie da sein. f.k.a. #kaufwodiebratwurstwächst | ['Melanie Kutloch', 'Petra Teufel', 'Niela Nieda', 'koljaLanger', 'Christian Waitschies', 'Thomas Ernst', 'Simon Brandl', 'Vincent Greulich', 'Felix Jauch'] | [] | ['docker', 'java', 'mongodb', 'scss', 'spring-boot', 'typescript', 'vue.js'] | 4 |
9,891 | https://devpost.com/software/risikogruppen-besser-unterstutzen | Inspiration
Zuhausebleibenpolitiken müssen nicht universell sein. COVID-19 ist eine Krankheit, die etwas tödlich für die Fettleibigen, sehr Alten und schon Kranken ist. Zuhausebleibenpolitiken sind nur gut bei Ausrüstungs- und Medizinmangel bei oder nahe bei der Krankheitsspitze. Aber das kann erreicht werden, indem diese Anordnung eine viel gezieltere Bevölkerungsgruppe betrifft. Die Wirtschaft zu retten, bedeutet Leben, keinen Mord - sowohl für Nichtrisikogruppen, als auch für Risikogruppen.
What it does
Zuhausebleibenpolitiken nicht universell, sondern auf Risikogruppen gezielt
Beendung der Ausgangssperre und Einführung eines gezielteren Ansatzes
Freiwilliges soziales Abstandhalten für Risikogruppen
Nichtrisikogruppen führen ihr normales Leben mit zusätzlichen Hygiene- und Schutzmaßnahmen in Anwesenheit von Risikomenschen
Einführung von Grenzen in Supermärkten gegen Hamsterkäufe
Gutes Beispiel: in Taiwan bekommen die Menschen in Isolation Lebensmittel und andere Materialien geliefert und auch Hausbesuche, um ihr Wohlergehen zu prüfen
In Bulgarien kaufen die Senioren nur von 8:30 - 10:30. Alle anderen dürfen in diesem Zeitraum nicht einkaufen, sie kaufen dann davor oder danach.
Gruppen singender Kinder oder andere Künstler vor Altenheim-Balkonen / Krankenhaus
Cluster-Bildung als Alternative voller Isolation: Warum nicht jedem Bürger gestatten, mit sagen wir 5 ausgewählten Haushalten ungeschützten Kontakt pflegen zu dürfen. Aber dann nur mit diesen 5. Sollte sich mal einer aus dem Cluster infizieren, erwischt es max. 5 andere Haushalte und dann bricht die Infektionskette ab. Der Vorteil: Eltern mit Kindern können sich, ohne sich ängstlich umsehen zu müssen, treffen und die Kinder miteinander spielen lassen. Man kann sich zum Grillen treffen und sogar kleinere Partys feiern. Man kann sich gegenseitig per Handschlag oder per Umarmung begrüßen...eben das volle Programm menschlicher sozialer Bedürfnisse abdecken, ohne deswegen eine unkontrollierte Verbreitung zu riskieren. Leider wäre diese Variante aber wohl schwer (Polizeilich) zu kontrollieren
Wenn Restaurants und Bars ausschließlich Gäste mit vorheriger Reservierung zulassen, könnten sie doch theoretisch auch eine Höchstgästezahl einhalten und alle weit genug auseinandersetzen. Das lastet bestimmt nicht zu 100 % aus, bringt ihnen aber mehr Einnahmen als aktuell. Wenn die Bedienung Mundschutz trägt und der Gästebereich vor einem neuen Gast (sicherheitshalber) desinfiziert wird, sollten doch auch Risikogruppen mal wieder Essen gehen können oder ein Glas Wein trinken.
Eine happy hour nur für Risikoleute mit extra strengen Hygienemaßnahmen
Auch bei Tierparks, Friseuren usw. würde ich mir Vorreservierung in der aktuellen Zeit wünschen. Ich packe doch nicht die Familie ein, fahre in eine andere Stadt bei glühendem Sonnenschein nur um dann am Eingang evtl. in einer Schlange zu warten, bis genug Plätze im Tierpark frei sind. Da müßte schon etwas Planbarkeit her (P_Josinger)
Auch was google schon immer etwas gemacht hat, könnte man jetzt penibler machen: die aktuelle Auslastung eines Ladens im Internet sichtbar machen z.B. durch regelmäßig fotografierte Einkaufswagenunterstände, wo man gleich sieht, ob gerade nur noch 2 Wagen dastehen oder 30.
durch Vorbilder - Persönlichkeiten der Stadt Jena - diese Verhaltensregeln verfestigen (Werbekampagne)
das Thema in Schulen und Kitas tragen. --> Eigene Projekte, bei denen die Schüler, Kinder sich unter pädag. Begleitung mit dem Thema auseinandersetzen --> Bilder malen, eig. Plakate erstellen, ...
Eine kostenlose Seite in der Zeitung mit Hilfsanboten in Jena
https://www.selbsthilfe-in-jena.de/de/ikos-jena.html
https://www.buergerstiftung-jena.de/freiwilligenagentur.html
Ein kleines eig. Heft für jd. Haushalt mit Verhaltensregeln, HIlfsangeboten vor Ort...mgl. Anbietern von Stoffmasken. ...Angebote/Adressen/Ansprechpartner innerhalb der Stadt Jena in dem Heft. Broschüre, die alle erreicht
Es gibt ja diese statitsische Auswertung / Kurve, wie schnell sich das Virus bei unkontrollierter Verbreitung verbreiten würde, wie viele Infizierte mit schwerer Symptomatik dabei zu erwarten sind und dieser Kurve wird dann als gerade Linie die Kapazität unserer Krankenhausbetten gegenübergestellt. Mich würde mal interessieren, wie viele Infizierte mit schwerer Symptomatik zu erwarten wären, wenn man diese Statistik nur mit den Nichtrisiko-Menschen macht! Das sagt uns dann, wie viele Betten wir bei UNKONTROLLIERTER Ausbreitung unter Nichtrisikomenschen für diese Gruppe vorhalten müssten. Ich vermute stark, dass das eine realisierbare Bettenzahl gibt. Solange die Risikogruppe währende dieser Phase der Herdenimmunisierung weitgehend auf Distanz bleibt, werden auch keine/kaum zusätzliche Betten benötigt. Man kann dann eine Bettenzahl festlegen, die wir für Nichtrisiko-Menschen vorhalten wollen. Dann macht man die Ausbreitungsstatistik bei unkontrollierter Ausbreitung mit Nichtrisiko-Menschen und wenn dabei ein höherer Bedarf als die festgelegte Bettenzahl entsteht, grenzt man die Gruppe der Nichtrisiko-Menschen nochmal etwas ein und macht die Statistik nochmal. sollte man doch iterativ die Nichtrisikogruppe gut abgrenzen können (P_Josinger)
Eine Übersicht, wann der öffentl. Nahverkehr besonders stark frequentiert ist
How I built it
Challenges I ran into
Soziale Teilhabe von Risikogruppen sichern trotz ihrem sozialen Abstandhalten
Accomplishments that I'm proud of
What I learned
What's next for Risikogruppen Besser Unterstützen
Konkrete Maßnahmen diskutieren, eventuell einsetzen und noch nicht vorhandene Angebote erstellen und verteilen | Risikogruppen Besser Unterstützen | Risikogruppen besser unterstützen mit weitgehend unbeschränkten Nichtrisiko-Mitmenschen | ['Jena Vsvirus', 'Teiln_Petrumila Zhendova'] | [] | [] | 5 |
9,891 | https://devpost.com/software/01_003_06_jenmarkt24_intelligenteroutenfuhrung | jenMARKT24
Inspiration
Viele lokale Händler leiden unter der Corona-Krise. Sie dürfen gar nicht oder nur unter erschwerten Bedingungen für den Verkauf öffnen. Auf Einkäufe wird verzichtet, sie werden verschoben oder verlagern sich ins Netz. Auch nach der Pandemie wird diese Entwicklung bestand haben. Wir bieten Online-shopping mit lokaler Wertschöpfung. Jenmarkt24 ist eine Online Lieferplattform für Jena. Sie bringt lokale Händler und Hersteller mit Verbrauchern zusammen, die sich nicht mehr selbständig mit Lebensmitteln und Waren des täglichen Bedarfs versorgen können (z.B. körperliche Beeinträchtigung), dürfen (Quarantäne) oder sollten (Risikogruppen). So unterstützen wir die lokale Wirtschaft, die durch Geschäftsschließungen im Zuge der Corona-Krise leidet. Wir bieten einen neuen Vertriebsweg für die Unternehmen, die so Arbeitsplätze vor Ort sichern können. Auch helfen wir dem Verbraucher sich vollumfänglich und einfach in den eigenen vier Wänden mit Produkten von lokalen Händlern und Herstellern zu versorgen.
Unser Angebot
Jenmarkt24 nimmt die Bestellungen im Onlineshop auf, wickelt die Zahlung ab, übermittelt die Warenbestellungen an den jeweiligen Händler, kommissioniert die Waren und liefert diese mit eigenen Fahrzeugen im gesamten Stadtgebiet und den eingemeindeten Orten aus.
Technische Grundlagen
Der Onlineshop wird mit Shopware 6 betrieben. Shopware 6 wird nach dem API-first-Ansatz entwickelt. Dieser fußt auf einer vollständig neuen technologischen Basis, welche grundlegend auf Symfony als Standard-Framework aufbaut. Die Shopware 6 Storefront basiert auf dem Framework Bootstrap und der Template-Engine Twig. Die Administrationsoberfläche wird vollständig von Vue.js angetrieben. Durch den integrierten Plugin-Manager kann die Funktionalität des Backends und der Storefront zentrale verwaltet und erweitert werden.
Herausforderungen
Momentan werden noch viele Arbeitsschritte von uns händisch ausgeführt und das ist ein großes Hemmnis für die Ausweitung des Service. Unser Ziel ist es möglichst vielen Händlern diesen Absatzweg zur Verfügung zu stellen und somit den Kunden ein möglichst umfangreiches Sortiment zur Eigenversorgung zur Verfügung zu stellen. Je mehr Händler an Jenmarkt24 teilnehmen, umso attraktiver wird das Angebot, wovon wiederum der Endverbraucher partizipiert.
Die Challenges
Für folgende drei Tätigkeiten im Workflow von Jenmarkt24 sehen wir besonderen Bedarf für eine digitale Lösung:
Lieferfenster wählen: Dem Endverbraucher soll es ermöglicht werden beim Bestellabschluss ein Lieferfenster für seine Bestellung am Liefertag zu wählen. Drei Optionen stehen dem Kunden am Liefertag zur Verfügung:
a. von 10 – 14Uhr
b. von 14 – 18Uhr
c. Im gesamten Lieferzeitraum
Routenplanung für Auslieferung: Anhand der Adressdaten der Kunden, der Anzahl der Bestellungen und ggf. dem gewählten Lieferzeitraum, soll ausgehend vom Verteilzentrum in der Mühlenstraße die sinnvollste(n) Lieferroute(n) festgelegt werden. Eine Lieferung dauert im Schnitt 15 - 20 Minuten, d.h. wenn mehr als 15 Bestellungen auf ein Lieferfenster fallen, muss eine weitere Tour angelegt werden. Bestenfalls werden die Lieferungen dann paritätisch auf beide Touren aufgeteilt (Bsp: 20 Lieferungen á 2 Touren a 10 Lieferungen)
Waren im Onlineshop (ein-)pflegen: Derzeit legen wir händisch alle Produkte für die Händler an und pflegen diese. Das ist für uns ein immenser Arbeitsaufwand. Es soll den Verkäufern die Möglichkeit geschaffen werden, die Wareneigenständig in den Shop einzutragen und ggf. nachträglich Änderungen vorzunehmen (z.B. Bestand, Produktbeschreibung etc. ändern, Artikel aktivieren/ deaktivieren.).
Bisherige Leistungen
jenMarkt24.de ist erst eine Woche online, 8 Unternehmer vertreiben bereits Waren über jenMARKT24.de und es wurden schon über 30 Bestellungen erfolgreich bearbeitet. Am Freitag, den 17.04.2020 wird erstmals nach der, von Alexander Knoll entwickelten, intelligenten Routenführung ausgeliefert.
Was wir bereits gelernt haben
Die Zeit war knapp. Die Lernkurve steil. Wir können nicht rappen. Leider geil!
Built With
10.3
apache
debian-10
mariadb
php-7.3
shopware6
symfony-framework
twig-template-engine
web-server
Try it out
jenmarkt24.de | 01_003_06_jenmarkt24_intelligenteRoutenführung | jenMARKT24 liefert Waren von lokalen Händlern an jenaer Endverbraucher | ['Alexander Knoll', 'Florian Beckert', 'Ronny B'] | [] | ['10.3', 'apache', 'debian-10', 'mariadb', 'php-7.3', 'shopware6', 'symfony-framework', 'twig-template-engine', 'web-server'] | 6 |
9,891 | https://devpost.com/software/1_005_08_onlineveranstaltungsundplanungskalender | kulturPlaner Logo
Eventkalender
Problem
Das kulturelle Leben der Stadt ist im Moment nahezu eingestellt. Die Vereine und Clubs versuchen sich während der Krise mit Soli-Tickets und Online-Konzerten über Wasser zu halten. Jedoch müssen sich Veranstalter:innen schon jetzt Gedanken über die Zeit danach machen. Sobald die Einschränkungen gelockert sind, werden sich alle Kulturschaffenden auf die verbleibenden sommerlichen Wochenenden stürzen – Überschneidungen ähnlicher Veranstaltungen sind dabei kaum vermeidbar.
Herausforderung
Kulturvereine und Initiativen sind gezwungen ihre Veranstaltungen auf einen späteren Zeitraum zu verlegen. Der ohnehin kleinteilige Kulturkalender dieser Stadt wird damit auf eine harte Probe gestellt. Zusammenhalt und Konnektivität unter den Kulturschaffenden (und ihrem Publikum) ist in diesen Zeiten unsere größte Herausforderung.
Lösungsansatz
Dieser Online-Planungskalender ermöglicht eine digitale Koordination und Kommunikation über Veranstaltungstermine unter allen Kulturschaffen der Stadt Jena. Im Mitgliederbereich können sich Vereine und Initiativen untereinander über ihr Vorhaben abstimmen (Ort/Datum) und mögliche Ressourcen (Technik/Mobiliar) austauschen. Veranstaltungen können über den geschützten Bereich eingepflegt oder durch eine Verknüpfung direkt von der Vereins-Website eingebettet werden.
Vision:
Kalender wird das neue digitale Werkzeug für Kulturschaffende
Mission:
Erweiterungen einpflegen und breite Marketing-Aktion unter Vereinen für eine größtmögliche Reichweite veranstalten
Zielgruppe
Eine Plattform für die freie Szene ist ein langersehnter Wunsch der Kulturschaffenden dieser Stadt. Im Rahmen der Zielgruppenanalyse haben sich 3 Persona darstellen lassen. Je nach Größe und Reichweite des Veranstalters wurden unterschiedliche Bedürfnisse und Motive an das Projekt festgehalten.
Feedback der Community
Zu Beginn wurde 5 Vereine und Kollektive über ihre Ansichten zum Projekt befragt, um auf Grundlage dieser Aussagen ein Grundgerüst zu bauen. Außerdem konnten wir uns dank Unterstützung der Camp-Teilnehmer eine rechtliche Beratung für einzelne Funktionen (u.a. die Einbettung) einholen. Im Verlauf des Prototypings haben Gespräche mit JenaKultur (Marketing) stattgefunden, die den Bedarf für dieses Vorhaben bestätigten.
Wie wurde das Projekt gebaut?
Im Rahmen des Hackathons haben wir ein Frontend mit Vue.js und Nuxt.js gebaut, welches Veranstaltungen anzeigt und eine Oberfläche zum Anlegen und Verwalten beinhaltet. Das Backend wurde mit node.js gebaut und ist an die Google's Calendar API angebunden um Termine zu verwalten.
What's next...
Im nächsten Schritt muss die Weiterentwicklung genau geplant werden. Für eine sinnvolle Programmierung der Kommunikationstools (via Forum und/oder Chat) sind zunächst Gespräche mit weiteren Vereinen und Kulturschaffenden geplant. Ausgehend von dieser Bedarfsanalyse werden sich neue Aufgabenfelder ergeben. Das Team ist interessiert noch weiter an diesem Projekt zu arbeiten.
Jetzt seid ihr dran. Gebt eurer Kulturlandschaft etwas zurück und unterstützt diese Aktion!
Built With
node.js
nuxt
passport
vue
Try it out
jenavsvirus-dev.herokuapp.com
github.com | 1_005_08_veranstaltungsundplanungskalender_kulturPlaner | Ein Online-Veranstaltungs- und Planungskalender soll die Terminkoordination unter Kulturschaffenden und Vereinen verbessern. | ['Nadine Katschmarek', 'Johannes H', 'Marcel Lindig', 'Harvara', 'Gregor Zweig', 'Johannes Trommer', 'Susanne Zapf'] | [] | ['node.js', 'nuxt', 'passport', 'vue'] | 7 |
9,891 | https://devpost.com/software/1_005_09_vereinslebentrotzsocialdistance | Inspiration
Eines unserer Teammitglieder hat 3 Kinder die normalerweise in 6 Sportvereinen jede Woche aktiv sind. Aktuell ist das durch Kontaktverbot nicht möglich und die Langeweile zu Hause wird ein Problem.
Vereinzelt gibt es bereits Vereine die Training via Videokonferenz machen - aber das ist die absolute Ausnahme.
Im Netz gibt es lustige Challenges - aber so richtig Spaß macht das nur wenn die Vereinsfreunde dabei sind um sich gegenseitig zu motivieren.
What it does
Wir haben 2 Websites gebaut.
Auf der Cybertraining Seite wollen wir Hilfestellungen geben, wie man in Vereinen Cybertraining initialisieren kann. Wir erklären auf dieser Seite wie ein Trainer sein Team zum Cybertraining bringt. Wir stellen kurze Videos zum Einsatz der Technik bereit sowie Vorlagen für Mails oder Gruppennachrichten. Alles is erprobt und funktioniert.
Der ChallengeGenerator gibt Trainern die Möglichkeit ein 4x4 Bingofeld mit 16 Challenges zu erstellen. Er wählt aus einer Liste mit über 100 kategorisierten Challenges die passenden für sein Team aus. Er bekommt dann ein Bild mit dem Bingofeld und ein Link zu den Regeln und Challengeerklärungen. Beides kann er dann einfach per Button mit seiner Sportgruppe teilen.
How we built it
Interviews mit 6 Trainern um Problemstellungen zu identifizieren.
Test der Erklärvideos und Probecybertraining mit der D-Jungend des SV Jena Zwätzen und Vanessa Fudalla vom FF-USV.
Cybertraining Website mit Markdown und GitHub Pages.
Videos mit Iphone und Youtube.
Entwicklung der Challenge Website mit JS,CSS,REACT, VSCODE, Github. Kein Backend.
Der Code ist Open Source und liegt komplett in den unten verlinkten Github repos.
Challenges we ran into
Der Großteil unseres Teams musste tagsüber arbeiten und Kinder betreuen. Hackathon so nebenbei ist nicht so einfach wie gedacht. Auch die tollen Angebote der Organisatoren konnten wir nicht wirklich wahrnehmen tagsüber.
Die Websites sind Do und Freitag Nacht entstanden.
Obwohl im Channel 12 Personen sind, waren am Do nur 3,5 wirklich aktiv. Wir mussten so kurzfristig im Kollegenkreis noch Programmierexpertise dazuholen.
Samstag früh um 2 Uhr als Laie mit Mac Bordmitteln ein Pitchvideo mal schnell zusammenzuschneiden hat sich auch nicht als ganz so einfach erwiesen. Da würden wir demnächst früher nach Profiunterstützung fragen.
Accomplishments that we're proud of
Der Aufruf nach Challenges wurde von Lichtstadt und Sportbund der Stadt Jena in Social Media verbreitet.
Wie haben mit der D-Jugend von Zwätzen ein cooles Cybertraining absolviert. Der Trainer war begeistert und will das jetzt mehrfach pro Woche tun. Vorher gab es null Kontakt im Team seit der Kontaktsperre.
What we learned
markdown, GitHub Pages, ...
What's next for 1_005_09_vereinslebentrotzsocialdistance
Der Stadtsportbund hat angeboten die Ergebnisse via E-Mailverteiler zu den Vereinen zu bringen. Das werden wir nutzen. Wir werden auch prüfen, ob das Team vom Stadtsportbund die Wartung der Seiten übernehmen kann.
Wir werden nochmal mit dem Social Media Team der Stadt reden um die Ergebnisse zu verteilen.
Built With
github
markdown
material
react
vscode
Try it out
phimichel.github.io
lutzkohl.github.io | 1_005_09_vereinslebentrotzsocialdistance | Vereinsleben trotz Kontaktverbot. Wir erklären Trainern wie Cybertraining funktioniert. Wir haben eine Sammlung von Challenges und einen Challengegenerator, der Spaß & Action in Sportgruppen bringt. | ['Philipp Michel', 'Johannes Trommer', 'Benita Bürger', 'Lutz Kohl', 'Christoph Schliewe', 'Susanne Zapf', 'Korinna Ringendahl'] | [] | ['github', 'markdown', 'material', 'react', 'vscode'] | 8 |
9,891 | https://devpost.com/software/socialmediasupportfurmehrsolidaritat | PROBLEM
In den sozialen Medien (Facebook) ist die Stimmung eher negativ. Auf die wöchentliche Videobotschaft vom Oberbürgermeister, auf Beiträge von Bürgern, auf neue Regelungen innerhalb Jenas, auf die tägliche Abendlage, etc. wird sehr häufig mit Unverständnis reagiert und die Social Media Experten der Stadt haben Mühe, auf die Anfragen zu reagieren, bspw. gehen auch wiederholt geäußerte Kritik und beschriebenen Unmut nicht ein. Die daraus resultierende negative Stimmung (Beleidigungen, negative Äußerungen, Kritik) reißt wiederum Andere mit.
HERAUSFORDERUNG
Wie kann die Stimmung auf Facebook wieder ins positive und hoffnungsvolle gedreht werden?
LÖSUNG
Wir gehen davon aus, dass ein Teil des öffentlichen Diskurses in sozialen Medien durch Kommunikation beeinflusst werden kann.
These:"Krisenkommunikation ist fordernd für alle! Wenn wir schnell lernen auf unsere Bedürfnisse einzugehen erhöhen wir die Wirksamkeit der Kommunikation und die Unterstützungsbereitschaft für Krisenmaßnahmen."
Durch die stetige und konsequente Auswertung von Rückmeldungen und (offenen?) Daten und die Aufbereitung in ein Dashboard, können schnell Informationen für eine Wirkungsorientierte (Krisen-)Kommunikation gewonnen werden.
Wir konzentrieren uns auf die Primärinformationsquelle der Stadt Jena und 1-2 reichweitenstarke Jena-spezifische Gruppen in Facebook. Präzisiert besteht unser Vorgehen in 4 Schritten.
1.) Wir wollen stellvertretend die Kommunikation der Stadt Jena auf Facebook (User “Jena - Lichtstadt”) analysieren. Mit Hilfe der Daten der Posts aus einem vergangenen Zeitraum sollen Inhalte identifiziert werden, die auf besonderes Interesse stoßen und die Zielgruppe dargestellt werden. Auch umstrittene und kritische Interaktionen sollen mit einer Inhaltsanalyse erfasst werden nach der Prämisse, dass auch Kritik ein Bedürfnis ausdrückt.
Die Daten sollen möglichst live auch außerhalb Facebooks bestenfalls per Open Data für ein Dashboard zur Verfügung stehen.
2.) Ergänzend soll eine Umfrage zur Kommunikation versuchen, Erkenntnisse zu den Bedürfnis an Kommunikation in Sozialen Medien zu dem Thema zu gewinnen. Eine Umfrage kann laufend die (Krisen) Kommunikation begleiten und Wirksamkeitsabschätzungen und Bedürfnisanalysen unterstützen. Eine möglichst automatisierte Darstellung entlasstet Personelle Kapazitäten in der Krisenphase.
3). Aus den Ergebnissen soll eine Lagebeurteilung zur Online-Kommunikation erstellt werden und Handlungsoptionen und Bedarfe formuliert werden. Teilnehmer mit einem besonderen direkten Kommunikationsbedarf sollen eingeladen werden, sich zu einer Videokonferenz mit kommunal Verantwortlichen auszutauschen.
4.) In einigem Abstand nach der Corona-Krise wollen wir gemeinsam mit Akteuren der Kommunikation, Stadt und Usern einen Workshop durchführen um Input für "Lessons Learned" zu generieren.
Krisenkommunikation ist fordernd! Ziel ist es, mehr über die Kommunikationsbedürfnisse bzgl. der Krisensituation in Sozialen Medien zu erfahren. Lässt sich ein Teil der Bedürfnisse durch Maßnahmen entgegenkommen, könnte dies eine positive Wirkung auf die Kommunikation haben.
Pitch:
https://www.youtube.com/watch?v=6LUaLOyzJ7c&feature=youtu.be
Built With
csv
excel
facebook
survey | 1_004_03_socialmediasupportfürmehrsolidarität | Wir wollen die Onlinekommunikation zur Corona-Krise verbessern. | ['Miriam Goller', 'Bastian Stein'] | [] | ['csv', 'excel', 'facebook', 'survey'] | 9 |
9,891 | https://devpost.com/software/1_002_03_onlinemesse_expo-x | Ein individueller Messestand der Expo-X (Draft)
Ein leerer Messestand zum Befüllen mit Produkten
Blick auf mehrere Messestände
PROBLEM
Durch die aktuelle Krise wurden sämtliche Messen abgesagt. Für viele Unternehmen sind aber gerade Messen die ideale Gelegenheit um neue Produkte vorzustellen, wichtige Kontakte zu Knüpfen und Kunden zu gewinnen.
HERAUSFORDERUNG
Es müssen alternative Wege der Unternehmenspräsentation und -kommunikation geschaffen werden um gerade in der aktuellen Krise die Messeausfälle zu kompensieren.
LÖSUNG
Die EXPO-X ist eine reine Onlinemessen/-konferenzen und löst genau diese Probleme. Unternehmen können sich und ihre Produkte dort virtuell präsentieren und mit Partnern und potentiellen Kunden in Kontakt kommen.
Auf der Expo-X gestalten Aussteller schnell und einfach Ihren eigenen Online-Messestand in 3D. Sie hängen ihre Plakate und Logos an die virtuelle Wand, Stellen Videos ein und organisieren Live-Events wie Produktvorstellungen, Vorträge und Workshops. Die EXPO-X bieten Sie Ihren Gästen ein vollwertiges Messeerlebnis in 3D, Virtual- und Augmented Reality.
EXPO-X IST
Sales- & Marketingboost
Mit einem virtuellen Messestand auf der Expo-X steigern Aussteller effektiv Ihre Markenbekanntheit. Sie treten in Kontakt mit ihren Besuchern, nutzen Video-Konferenzen, Chats und Kontaktanfragen, um Kunden und Partner zu gewinnen.
Orts- & Zeitunabhängig
Die Expo-X ist eine reine Onlinemesse. Sie hat 365 Tage im Jahr geöffnet und ist immer verfügbar. Sie ist branchenübergreifend, orts- und zeitunabhängig und von allen Geräten aus zu erreichen.
** schnell & einfach **
Jeder kann mit wenigen Handgriffen einen eigenen Messestand gestaltet. Es können Messewände, Theken und Banner in wenigen Minuten selbst angepasst oder von Experten gestaltet werden. Zusätzliche Videos und 3D-Modelle machen den Auftritt unvergesslich.
Die Messe soll am 1. Juni starten.
VORTEILE
KONTAKTLOS ERFOLGREICH
Kontakt minimieren, Umsätze steigern. Unsere Lösung ist orts- und zeitunabhängig. Die virtuelle Messe kann jederzeit stattfinden und ist krisenfest.
ZEIT- UND KOSTENERSPARNIS
Aussteller und Besucher sparen sich lange Anreisewege und Kosten für Reise und Unterkunft. Zudem entfallen hohe Standgebühren und teure Eintrittskarten.
STEIGERUNG DER REICHWEITE
Nicht jeder potentielle Kunde nimmt Zeit und Kosten auf sich, um eine Messe zu besuchen. Ein Online-Messestand aber ist mit einem Klick vor Ort und kann gemütlich erkundet werden.
OPTIMALE PRODUKT- PRÄSENTATION
Zu einer Messe können Sie nur wenige Produkte mitnehmen, die nur einige Besucher gleichzeitig betrachten können. Virtuell können alle zeitgleich Ihr Produkt zum Greifen nah entdecken.
OPTIMALE LADEZEITEN
Dank kleiner Datenmengen verfügen die Online-Messestände über sehr schnell Ladezeiten. Das ermöglicht ein entspanntes Messe-Erlebnis für Aussteller und Besucher.
AKTUELLER STAND
Die Messe wurde mit Avataren versehen, virtuelle Visitenkarten und Interaktionen wurden geschaffen. Das gesamte Framework steht. 10 interessierte Messeanbieter und 20 Interessierte Aussteller wurden bereits während des Hackathons gewonnen.
Das Gesamtprojekt ist Open Access.
WEITERE SCHRITTE
In Zukunft folgen weitere Absprachen und Planungen mit Partnerinnen und Partnern. Die Messe wird zum 01.06.2020 beginnen um 13:37Uhr.
Built With
mongodb
rooom
vue.js
wordpress
Try it out
www.expo-x.de | 1_002_03_onlinemesse_EXPO-X | Die Expo-X bietet eine ortsunabhängige Online-Messe in 3D, Virtual und Augmented Reality. Diese ist auf Wunsch 365 Tage im Jahr offen – egal was passiert. | ['Hans Elstner', 'Annelie Herrmann', 'cathrin_toepfer', 'M.M. Meißner'] | [] | ['mongodb', 'rooom', 'vue.js', 'wordpress'] | 10 |
9,891 | https://devpost.com/software/1_004_02_casemanagementapp_coronicate_com | Funktionsfähige Plattform mit Meldefunktion
Funktionsfähiges Backend
Chatfunktion für Bürgerinnen und Bürger und Ämter
Casemanagement App - Kommunikation zwischen Gesundheitsamt und Bürgerinnen und Bürgern
PROBLEM
Die Verwaltung von und Kommunikation mit Personen in Quarantäne und/oder positiven Corona Testergebnis ist zeitintensiv und aufwändige. Passende Prozesse oder Software stehen bisher nicht zur Verfügung.
HERAUSFORDERUNG
Es wird eine Lösung benötigt mit dem das Gesundheitsamt sehr einfach mit Bürgerinnen und Bürgern kommunizieren und Empfehlungen aussprechen kann. (Momentan erfolgt es über E-Mail).
LÖSUNGSANSATZ
Sinnvoll erscheint eine Webbasierte Plattform mit Anleihen aus einem Support Ticketsystem. Bürgerinnen und Bürgern müssen eine Meldungen machen können (z.Bsp. Rückkehr aus einem Risikogebiet oder Kontaktperson mit positiven Testergebnis oder corona ähnliche Symptome) und das Gesundheitsamt müsste standardisiert die Daten ver- und bearbeiten können. Ähnliche Anfragen müssten gesammelt beantwortet werden können. Fälle sollten übersichtlich dargestellt und nachvollzogen werden können. Einladungen zu Tests sollten automatisiert und mit Zeitlicher Eintaktung erfolgen können.
Aktueller Stand
Komplettlösung Entwickelt (lauffähig)
http://www.coronicate.com
Demo Verwaltungsbereich für das Gesundheitsamt:
http://backend.coronicate.com/login
User:
[email protected]
Pass: passwort
Das Gesamtprojekt ist Open Source.
Nächste Schritte
Gesundsheitsamt anbinden
Weiterentwicklung
Built With
css3
html5
javascript
laravel
mysql
php
Try it out
www.coronicate.com
backend.coronicate.com | 1_004_02_casemanagementapp_coronicate_com | Webbasierte Plattform zur Kommunikation zwischen Gesundheitsamt und Bürgerinnen und Bürgern für ein einfachen und schnelles Casemanagement | ['Hans Elstner', 'Enrico Weder'] | [] | ['css3', 'html5', 'javascript', 'laravel', 'mysql', 'php'] | 11 |
9,891 | https://devpost.com/software/1_005_06_jenaerkulturvonzuhauseerleben_kulturzuhause_de | PROBLEM
Aktuell ist sind sämtliche Museen und kulturellen Einrichtungen nicht mehr für Besuche zugänglich. Gerade in einer Zeit eingeschränkter Erreichbarkeit, wecken digitale Kultur- und Bildungsangebote Interesse und bieten vielfältige Möglichkeiten der Teilhabe.
HERAUSFORDERUNG
Es müssen Wege gefunden werden, die Kultur direkt zu den Menschen nachhause zu bringen. Kontaktlos und dennoch zum Greifen nah. Erklärend, Erlebnisreich und mit Tiefgang.
LÖSUNG
Bis zum Ende des JENAvsVIRUSCAMPS soll unter kulturzuhause.de eine Plattform laufen, auf der einige der kulturellen und sonst öffentlichen Einrichtungen Jenas virtuell zu begehen sind.
Die 3D Aufnahmen erfolgen durch die rooom AG gemeinsam mit Partner von cutur3D.
Unterstützung erhält das Projekt bereits von der Universität Jena, der Ernst-Abbe-Stiftung, JenaKultur und dem Jenaer Stadtforst.
HINTERGRUND
Die rooom AG digitalisiert bereits erfolgreich zahlreiche Einrichtungen und Kulturstätten (u.a. auch den SaurierPfad Jena) und Ausstellungen der Klassikstiftung.
Nun möchten wir gern gemeinsam mit unseren Partnern die kulturellen Einrichtungen der Stadt Jena in 3D Scannen und den Bürgerinnen und Bürgern zur virtuellen Begehung zur Verfügung stellen.
VERZICHT AUF ERSTELLUNGSGEBÜHR
Wir verzichten außerdem auf die einmaligen Erstellungskosten der rooom360 Aufnahmen im Rahmen des JenavsVirus Hackathon.
AKTUELLER STAND
Durch die Zusammenarbeit zahlreicher Partner wurde im Rahmen des Jena-Hackathons #JENAvsVIRUS eine vollständige Plattform für das Begehen kultureller Angebote gebildet. Kulturschaffende können per 360°-Scan erfasst werden und Ihre Räumlichkeiten online zeigen. Etwa 10 Einrichtungen wurden in den wenigen Tagen des Hackathons gescannt, verarbeitet und für die Web-Plattform aufbereitet. Die Resultate sind bereits auf der Website sichtbar.
Das Gesamtprojekt ist Open Access.
NÄCHSTE SCHRITTE
Aufgrund der hohen Wahrscheinlichkeit des Anhaltens der Krise ist davon auszugehen, dass zahlreiche Besucherinnen und Besucher das Web-Angebot zum digitalen Betreten der Website nutzen werden. Dafür werden weitere Partnerinnen und Partner gewonnen, um ein umfassendes Portfolio an verschiedensten Kultureinrichtungen zu schaffen.
Built With
360?-3d-scanner
3d-modelling
3d-scan
api-call
html5
mockup
plugins
rooom
rooom360
ux-design
video
wordpress
Try it out
kulturzuhause.de | 1_005_06_jenaerkulturvonzuhauseerleben_kulturzuhause_de | Interaktive Onlineplattform für den virtuellen Besuch von kulturellen und öffentlichen Einrichtungen Jenas. | ['Christian Hoffmann', 'Hans Elstner', 'revol-te'] | [] | ['360?-3d-scanner', '3d-modelling', '3d-scan', 'api-call', 'html5', 'mockup', 'plugins', 'rooom', 'rooom360', 'ux-design', 'video', 'wordpress'] | 12 |
9,891 | https://devpost.com/software/1_001_02-pandoa-gemeinsam-helfen | Pandoa - Virus Tracker
Die Herausforderung
Das Virus wird uns noch einige Monate begleiten. Deshalb hat uns im Team diese Frage am meisten beschäftigt: Wie leben wir in dieser Zeit möglichst komfortabel und gleichzeitig sicher mit dem Corona Virus?
Warum ist es so wichtig, als Virusträger:in den Kontakt mit gesunden Mitmenschen zu vermeiden?
Das COVID-19 Virus ist hoch ansteckend. Während ich mit einer Influenza-Infektion im Herbst ca. 1,4 weitere Personen anstecke, gebe ich das COVID-19 Virus an ca. 3 Personen weiter. Diese Zahlen wirken zunächst ähnlich gering. Jedoch gibt jede von mir infizierte Person das Virus mit derselben Wahrscheinlichkeit weiter.
Nach nur 10 Übertragungen von Mensch-zu-Mensch habe ich als erster Influenza-Träger 29 weitere Mitmenschen angesteckt, mit COVID-19 jedoch bereits 59.049 Mitmenschen.
PANDOA im Alltag
Ich möchte mich so frei als möglich bewegen können und trotzdem rechtzeitig über Risikokontakte und damit ein erhöhtes Infektionsrisiko informiert werden. PANDOA ist die Schnittstelle, um einerseits
mein eigenes Risiko
zu ermitteln, und andererseits
das Gesundheitssystem
schnellstmöglich über neue Infektionsherde zu informieren. Wir legen Wert auf ein einfach zu bedienendes Tool, bei dem ich gleichzeitig die Kontrolle über meine Daten behalte.
Wie erfahre ich mein eigenes Risiko?
Ich werde von PANDOA informiert, sollte ich in den vergangenen Tagen Kontakt zu einer Risikoperson gehabt haben. Im Gegenzug stelle ich meine Aufenthaltsorte in anonymisierter Form zur Verfügung, sollte ich selbst erkranken.
Wie wird das Gesundheitssystem auf neue Infektionsherde vorbereitet?
Indem PANDOA die Aufenthaltsorte von Risikopersonen in anonymisierter Form bereitstellt, werden Infektionsherde schnell erkannt und Ärzte sowie Krankenhäuser können regional spezifisch reagieren.
Das Team hinter PANDOA
Vor zwei Tagen hat sich ein buntes Team aus über 20 Entwickler:innen, Projektleiter:innen, Mediziner:innen und Grafiker:innen zum ersten Mal im virtuellen Raum getroffen und bereits 48 Stunden später können wir euch eine lauffähige App mit offenen Schnittstellen präsentieren.
Du möchtest die App testen?
Schreibe eine kurze E-Mail mit deiner iCloud E-Mailadresse an
[email protected]
oder lade die
apk für Android
herunter.
Wie funktioniert PANDOA?
Die App ist unaufdringlich und intuitiv zu bedienen. PANDOA zeichnet fortlaufend meine Bewegungsdaten auf und speichert diese für 14 Tage* lokal auf dem Smartphone. Außerdem werden täglich die klinisch kritischsten Parameter meines
Gesundheitsstatus
abgefragt: Körpertemperatur, Quarantäne Status, Infektionsstatus. Zusammen werden diese Daten
lokal
auf meinem Smartphone gespeichert ohne geteilt zu werden. Entsprechend meiner freiwilligen Angaben zum Gesundheitsstatus gibt die App landesspezifische Empfehlungen für das weitere Vorgehen.
Sollte ich selbst erkranken, kann ich meine Aufenthaltsorte der letzten Tage mit allen anderen User:innen
in anonymisierter Form
teilen. Dies ist wichtig, da ich bereits vor dem Auftreten von Krankheitsanzeichen das Virus hätte verbreiten können. So kann ich meine Mitmenschen für das Auftreten von Krankheitssymptomen sensibilisieren.
Wichtig:
Die Aufzeichnung der Daten auf meinem Smartphone ist zeitlich begrenzt.
Ich entscheide selbst, wann ich welche Daten in anonymisierter Form teilen will.
Das tracking einzelner Personen ist nicht möglich (Im Video dient diese Darstellung zur Illustration der tatsächlichen Funktionalität des Algorithmus). Jedoch kann ich anhand einer Karte Regionen mit hoher Infektionsdichte erkennen.
*Zeitraum der Speicherung entspricht gegenwärtigem Wissensstand zur maximalen Inkubationszeit von COVID-19.
Die open-source Schnittstelle PANDOA
Die App ist open-source und kann durch Informationen aus anderen Anwendungen ergänzt werden. Bereits entwickelt sind die Schnittstellen zur
Präzision meines Risikos
durch Anbindung von Selbstdiagnose-tools (z.B. CovApp der Charité), sowie die Unterstützung von
Modellen zur zukünftigen Ausbreitungswahrscheinlichkeit
des Virus (z.B. SIR-Modelle) und die Möglichkeit zur freiwilligen Bereitstellung meiner Daten für die
epidemiologische Forschung
(z.B. Machine Learning Analysen der gepoolten Datensätze). Hierfür stehen wir bereits mit den Entwicklern einiger tools, auch aus der #WirVsVirus challenge, in Kontakt (siehe unten).
Technische Details zu PANDOA
Multiplattformapp für iOS und Android
GPS basiertes Tracking und mit lokaler Speicherung
(tägliche) Abfrage des Gesundheitsstatus mit Körpertemperatur, Quarantäne- und Teststatus (positiv/negativ)
Rückfrage an die User:in zum Teilen der Daten, sollte sich der eigene Gesundheitsstatus verschlechtern
Download von Bewegungsdaten von Infizierten und Abgleich der Bewegungen
Warnung wenn sich die eigenen Bewegungsdaten mit denen von Infizierten überschneiden
Wir haben uns gegenwärtig für das geotagging Verfahren zur Erkennung von überschneidenden Kontakten entschieden. Nur so lassen sich Daten zur regionalen Ausbreitung und für
epidemiologischen Fragestellungen
generieren. Außerdem sehen wir bei alternativen Verfahren (z.B. Bluetooth) den
fortlaufenden Kontaktabgleich
über Betriebssysteme hinweg nicht gewährleistet, vor allem wenn User:in Bluetooth nicht explizit einschalten.
Backendserver
MongoDB zur Speicherung und Ausgabe der Bewegungsdaten und Gesundheitsstatus
Skalierbarkeit
CloudArchitektur AWS mit S3 Speicher
MongoDB Skalierbarkeit bereits implementiert
Fortschritt und Weiterentwicklung von PANDOA
Die weitere Arbeit am Projekt ist bereits geplant und soll betrieben werden
vom jetzigen Team
in Kollaboration mit rooom AG und e-Networkers GmbH
in Kooperation mit der wirewire GmbH
in Kooperation mit der SCO-CON:SULT GmbH
Anbindungen und Kooperationen
Einbindung
CovApp
der Charité Berlin
Kooperation mit Modellen zur Epidemiologischen Vorhersage
Contact Data Model
Kooperation mit
TestAPP
Wir sind bereits in Gesprächen mit der WHO zur Unterstützung eines offiziellen Release der App.
Kontakt
www.pandoa.de
Ansprechpartner (Projektmanagement):
Hans Elstner (rooom AG)
[email protected]
AKTUELLER STAND
Der Fokus während des Hackathons lag auf der Feinkonzeption des Gesamtkonstruktes (v.a. Privatsphäre). Im Rahmen des Hackathons wurde die TELEKOM als Unterstützungpartner gewonnen. Außerdem wurden zahlreiche Gespräche mit dem EU-Parlament, dem Deutschen Bundestag und dem Thüringer Wirtschaftsministeriums geführt, um Unterstützerschreiben zu erhalten. Darüber hinaus haben wir Unterstützungsangebote von Teilnehmerinnen und Teilnehmern des Hackathons erhalten.
Das Gesamtprojekt ist Open Source.
NÄCHSTE SCHRITTE
Die App und Plattform wird weiterentwickelt und mit dem Eingehen der Unterstützungsschreiben direkt im Google-Playstore und App Store veröffentlicht.
Built With
amazon-ec2
amazon-web-services
api
expo.io
html5
mongodb
node.js
react-native
sketch
Try it out
www.pandoa.org
github.com
youtu.be | 1_001_02_coronavirustracking_PANDOA | PANDOA informiert bei Kontakt mit Infizierten und hilfst anderen in Falle einer Infektion. PANDOA nutzt Daten anonym und ist open-source zur Anbindung an andere Projekte. // www.pandoa.org | ['Hans Elstner'] | [] | ['amazon-ec2', 'amazon-web-services', 'api', 'expo.io', 'html5', 'mongodb', 'node.js', 'react-native', 'sketch'] | 13 |
9,891 | https://devpost.com/software/digitallesklassenzimmer-klasse-cloud | Was hat uns motiviert?
Millionen von Schülern/innen und Lehrern/innen stehen vor der Herausforderung, wie Unterricht online durchgeführt werden soll. Eltern, Kinder und Lehrer sind von der derzeitigen Situation oft überfordert. Bestehende Lernplattformen sind “Alleskönner” und meist kompliziert in ihrer Handhabung. Wertvolle Zeit für die eigentliche Bearbeitung von Unterrichtsmaterialien geht im Dschungel von Kursen, Fächern, Ordnern und Tools verloren. Unsere intuitive App soll hier Abhilfe schaffen und auch den Datenschutz berücksichtigen!
Unser Fokus liegt dabei auf den Schülern/innen, die nur bedingten bzw. eingeschränkten Zugang zu ihren Lernmaterialien haben. Deshalb möchten wir unseren Beitrag leisten, um euch das digitale Lernen zu erleichtern!
Was kann klasse.cloud?
Durch klasse.cloud kannst du ganz einfach und unkompliziert mit deinem Smartphone in dein virtuelles Klassenzimmer eintreten. Alles ganz ohne Drucker, Highend-PC und schnelle Internetverbindung. Unterrichtsmaterialien bzw. Aufgaben können einfach und problemlos genutzt, bearbeitet und gemeinsam im Klassenchat besprochen werden. Direktes Feedback auf deine Ergebnisse erhältst du per (Video)Chat von deinem Lehrer. Durch den Einsatz von Nicknames und weiteren Maßnahmen bleiben deine Daten sicher und geschützt. Unsere schlanke und intuitive Benutzeroberfläche sorgt dafür, dass sich die App für alle Altersgruppen leicht bedienen lässt.
Wie wurde die App erstellt?
Unsere App zeichnet sich vorallem durch Datenkonformität und Datensparsamkeit aus. Das bedeutet, dass die Aufrechterhaltung des Unterrichts auch über ein Smartphone mit einem Datenvolumen unter 500MB im Monat sichergestellt wird. Unsere smarte Lösung baut auf aktuellen, skalierbaren Technologien auf und steht als OpenSource zur Verfügung.
Hürden, die wir erlebt haben?
Die Zeit war uns bei der Projektrealisierung teilweise nicht so wohlgesonnen. Dabei kamen sich gern mal Zeitdruck und unser Anspruch, ein userfreundliches Tool zu erstellen, in die Quere. Durch ehrliche Gespräche und rationale Abwägungen konnten wir uns zum Glück aber immer einigen, um weiter mit Hochdruck und Fokus an klasse.cloud zu arbeiten.
Leistungen, auf die wir stolz sind?
Unsere App. Durch einen simplen Aufbau, schlanke aber sinnvolle Funktionen und einer ansprechenden Gestaltung konnten wir klasse.cloud in wenigen tagen so erstellen, dass sie bald das Leben von Lehrern und Schülern erleichtern kann.
Unser Team. Die Stimmung war stets toll und alle haben an einem Strang gezogen. Durch den Einsatz eines Kanban Boards hatten alle stets einen Überblick über offene Tasks und konnten zielgerichtet arbeiten. Die Aufteilung der Aufgaben nach den jeweiligen Stärken sowie der regelmäßige Austausch hat unsere Zusammenarbeit sehr bereichert.
Unsere Learnings aus dem Projekt?
Teamarbeit geht auch über räumliche Grenzen hinaus! Was es benötigt, um trotzdem Teamgeist zu entwickeln und ein gemeinsames Ziel anzustreben? Uns haben funktionierende Kommunikationstools, regelmäßiger Austausch sowie Mut, Offenheit und eigenverantwortliche Persönlichkeiten zum Ziel geführt. Ob das jedoch das Geheimrezept ist, können wir nicht versprechen. Für uns hat es jedenfalls gut funktioniert. ;)
Die nächsten Schritte für klasse.cloud?
Als nächstes müssen wir uns um rechtliche Themen kümmern. Beispielsweise steht die Ausformulierung von Nutzungsbedingungen, dem Impressum und dem Datenschutz noch aus. Darüber hinaus möchten wir noch einen FAQ-Bereich ausbauen und mit weiteren Infos anreichen. Im Anschluss sollten wir uns noch um weitere technische Anpassungen kümmern und auch das Thema “Gründung einer Organisation” erhält unsere Aufmerksamkeit.
Built With
angular.js
artifactory
graylog
jenkins
node.js
postgresql
restapi
sonarqube
sql | 1_005_03_digitalesklassenzimmer | Im virtuellen Klassenzimmer jetzt unkompliziert zusammenfinden! | ['Lukas B.', 'Verena Scharnetzki', 'Julius Schinschke', 'Annelie Gallon', 'Sandra Gerberding', 'Sara Neumann', 'Mia Scharein', 'Stephanie Wolf', 'Birgit Seidel'] | [] | ['angular.js', 'artifactory', 'graylog', 'jenkins', 'node.js', 'postgresql', 'restapi', 'sonarqube', 'sql'] | 14 |
9,891 | https://devpost.com/software/1_005_05_wirsindjena | PROBLEM
Die Jenaer Kultur- und Klublandschaft hat massiv dazu beigetragen, dass Jena eine vielseitige und weltoffene Stadt mit zahlreichen Facetten ist.
Doch entgegen der Natur, wo aktuell farbenfrohe Blumen und Bäume sprießen und im Frühling zum neuen Leben erwachen, steht unsere Kulturlandschaft still.
Damit sie nach der Krise wieder erwachen kann, brauchen wir vereinte Kräfte und vor allem eine finanzielle Unterstützung.
Doch wie können Spenden in aktueller Zeit generiert werden?
HERAUSFORDERUNG
Wie erhalten wir die Jenaer Kultur- und Klublandschaft?
LÖSUNGSANSATZ
Jenaerinnen und Jenaer werden über Zeitung, TV, Social Media Kanäle etc. aufgerufen persönliche Bilder von schönen Momenten in Jena einzureichen.
Daraus generiert sich über die Zeit ein großes Mosaik-Foto, dass am Ende der Aktion vielfach als Poster gedruckt und verkauft werden kann.
Dieses Bild muss Jena symbolisieren und sehr ansprechend sein. (Drohnenfoto etc.)
Wichtig ist dabei, dass diese Aktion über mehrere Wochen läuft und möglichst viele Menschen involviert sind, sodass sie sich mit diesem Bild, dass aus hunderten Einzelfotos besteht, identifizieren können.
Ergebnis
Es gibt einige Ansätze zur Realisierung dieses Vorhabens.
Dennoch sind wir nicht in dem aktuellem Setting ins Doing gekommen.
Weitere Gespräche werden mit Vertretern der Klub- und Kulturszene, mit lokalen Druckereien sowie Rechtsanwälten (Datenschutz) in den kommenden Wochen geführt.
Built With
humanpower
merchandise
socialmedia | #1_005_05_wirsindjena | Wir sind Jena - Eine Social Media Aktion zur Erstellung eines Mosaik-Posters bestehend aus hunderten Bildern zur finanziellen Unterstützung der Jenaer Kultur- und Klublandschaft. | ['Johannes Trommer'] | [] | ['humanpower', 'merchandise', 'socialmedia'] | 15 |
9,891 | https://devpost.com/software/1_002_01_jenahandeltgemeinsam | Vielfalt regionaler Unternehmen
Übersichtskarte
Detailseite
Physisches kostenfreies Schaufenster
Physisches kostenfreies Schaufenster
Entwicklung mit RaspberryPi
PROBLEM
Der Einzelhandel ist größtenteils geschlossen, kleinen Unternehmen bleiben die Aufträge aus und der Umsatz bricht ein. Arbeitsplätze sind in Gefahr und ein Großteil von Selbstständigen weiß nicht, wie es weiter geht. Auch wenn hoffentlich bald Lockerungen eintreten werden, bleibt ein finanzielles Loch durch fehlende Auftzräge.
HERAUSFORDERUNG
Wie können wir Unternehmen in der Region stärken und damit Arbeitsplätze unserer Mitmenschen erhalten? In sowie nach der Krise!
LÖSUNGSANSATZ
Eine einfache visuell ansprechende Plattform soll die Vielfalt regionaler Unternehmen mit ihren Dienstleistungen und Produkten sichtbar machen. Ein digitales Schaufenster, um regionale Direktkäufe zu stärken.
Kunden können sich dadurch schnell und einfach einen Überblick verschaffen, welche Angebote aus Jena & der Region kommen und somit durch Direktkäufe beitragen, dass Läden nicht geschlossen oder kleine Unternehmen ihre Tätigkeit aufgeben müssen.
Die Webseite soll ein zentraler Anlaufpunkt sein, wenn man regionale Produkte erwerben möchte oder Dienstleistungen benötigt aber nicht weiß wer diese anbietet. Ein Step-by-step Guide führt den Seitenbesucher schnell und gezielt zum Ergebnis. #SupportYouLocals #WirSindJena
Zielgruppe
In unserer Zielgruppenanalyse haben wir 4 Personas ausfindig gemacht, die mit der Überschrift "Jenaer Bevölkerung mit Verbundenheit zur Stadt" zusammengefasst werden können.
Wer sind wir
Initiiert wurde handelt-gemeinsam.de von der Creative Crowd, eine Initiative von Selbstständigen bestehend aus Tom Fischer, Jens Wipprich, Benedikt Seifert und Tobias Hubold. Bereits nach einer Woche hatten sich über 50 Unternehmen angemeldet.
Im Rahmen von JenaVsVirus wurde das Projekt zusätzlich von Jacob Fricke, Nadine Katschmarek und Vincent Beyer unterstützt.
Aktueller Stand
Es wurde neben Zielgruppen-Analysen, Ux und UI Optimierungen auch ein UI-Framework (Vuetify) integriert und die grundlegende Struktur geändert. Ein ersten Prototyp ist unter
http://jenavsvirus.handelt-gemeinsam.de/
zu sehen.
Um aber auch den entstandenen Mehrwert möglichst schnell unseren Mitbürgern zu kommen zu lassen, wurden bereits einzelne Elemente in die Produktivversion unserer Plattform
https://handelt-gemeinsam.de
integriert und veröffentlicht.
Darüber hinaus wurde ein physisches Schaufenster zum Digitalem im CoWorking Space des Leuchtturms Jena e.V. errichtet. Interessierte Unternehmen können sich kostenfrei das Schaufenster des Leuchtturms als Werbefläche für ihr Geschäft als Präsentationsfläche nutzen.
Um zusätzlich auch eine Verbindung von dem physischen Schaufenster zurück in das Digitale zu haben, konnten wir mit einem Bildschirm und einem RaspberryPi ein Modul bauen, dass Unternehmen unserer Stadt in einer Endlos-Schleife zeigt und sich automatisch aktualisiert, wenn neue Unternehmen auf handelt-gemeinsam.de hinzukommen.
Aber auch in der Social Media Welt sind wir nicht untätig geblieben. So veröffentlichen wir täglich einen Eintrag der registrierten Unternehmen auf Facebook und Instagram und verbreiten somit die Vielfalt an Angeboten, die Jena zu bieten hat. Innerhalb von einer Woche erreichten wir über 200 Likes unserer
https://handelt-gemeinsam
Seite bei Facebook.
Weiterentwicklung von handelt-gemeinsam.de
Es stehen UX und UI Analysen des neu entstandenen Prototypen an. Darauf aufbauend wird ein Willkommens-Dialog umgesetzt, der den Kunden schnell und gezielt mit maximal 3 Schritten zum gesuchten Produkt / gesuchten Dienstleistung führt. Des Weiteren wird daran gearbeitet Rubriken zusammenzufassen und die Portfolioseite eines Unternehmens visuell sowie Inhaltsmäßig zu erweitern. Zum Beispiel durch einen persönlichen Spruch "Für mich ist Jena ..."
Zudem können wir uns auch gut vorstellen regionale Vereine mit zu präsentieren, um einen zentralen Anlaufpunkt für Sport oder ehrenamtliche Tätigkeiten anzubieten.
Built With
php
vue.js
Try it out
handelt-gemeinsam.de | 1_002_01_jenahandeltgemeinsam | Das digitale Schaufenster für Unternehmen in und um Jena zur Stärkung regionaler Direktkäufe #SupportYourLocals | ['Alexander Gloria', 'Jacob Fricke', 'Nadine Katschmarek', 'Vincent Beyer', 'tomfischer-jena', 'Moritz Wildenhain'] | [] | ['php', 'vue.js'] | 16 |
9,892 | https://devpost.com/software/quarantine-companion | Inspiration
This idea was inspired by the growing loneliness people have been facing in the midst of this jarring pandemic. It aims to solve this feeling by giving people a Quarantine Companion to raise as their own interactive digital friend. Like a Tomagachi, but way cooler.
What it does
An AR companion that lives in your phone and you, as the owner, care for it and watch it grow. As the owner, your duties include feeding it, clothing it, and even participating in its social life, where it interacts with other owners' pets on a server. Your activities, in turn, assist the pet in its growth. Through exercise and learning, the pet encourages productivity and rewards its owner with credits which can be used to purchase food and stylish clothes to further grow the pet.
How we built it
Using echoAR and Unity together to create a cohesive and immersive AR Experience that really feels like the little guy is actually there. We had to use Unitiy's ARFoundation and ARCore for android SDKs for the augmented reality camera, and implementing the models through echoAR was as piece of cake.
Challenges I ran into
It wasn't actually a piece of cake because I am an idiot and added a space after our API key and it caused me 2 hours of troubleshooting.
Front-End wise, a bunch of issues arose when implementing the Flutter code into the EchoAR and connecting them, which really took a toll on us.
Accomplishments that I'm proud of
Learning (almost) an entire library of AR functions that will help me in future projects, as well as more feasible integrations of the AR functions into business plans and products that can be actually used and marketed.
What I learned
AR Development and Unity Development
What's next for Quarantine Companion
Full appstore release and hundreds of unwanted in-app purchases.
Built With
c#
echoar
flutter
unity | Quarantine Companion | A 24/7 Mental Health Companion to our Current COVID Lock-down Life | ['Adam Holan', 'Kevin Ouyang', 'Akshay Samuel'] | ['Build the best for AR/VR solution powered by EchoAR', '1st Place'] | ['c#', 'echoar', 'flutter', 'unity'] | 0 |
9,892 | https://devpost.com/software/keep6-p846kn | Keep 6 Logo
Arduino Mega Wiring
RFID Read From 6+ Feet (Blue Light = Safe)
RFID Read From <6 Feet (White Light = COVID-19)
Flutter App Settings Page With RFID Input
Flutter App Add Whitelisted User Page
Flutter App Safe Social Distancing Interface
Flutter App Social Distancing Violation Interface
Website Map With Plotted Densely Packed Locations and Lat/Long Table
Website Sign Up Page
Firebase Database Entries For Backend Data Storage
Inspiration
Without a doubt, the most pressing global issue right now is the fight against COVID-19. Currently the battle against this global pandemic is fought on two fronts. While our healthcare heroes seek to end the disease one patient at a time, the rest of us must do our part to keep the global community safe and healthy. All across the world, people are quarantining themselves and practicing social distancing when going outside. According to the Center for Disease Control and Prevention, social distancing is defined by two main parts: not gathering in groups and staying at least 6 feet apart. With people still leaving their houses, whether to run essential errands or just to exercise, it becomes near impossible to keep track of everybody that has come near you. We wanted to create a widespread platform for people to be able to track the coronavirus status of the people that they have come near through factors like recency of interaction, proximity of interaction, and latest COVID-19 testing results.
What it does
Keep6 is a mobile app, Arduino hardware, and website based platform that encourages and monitors safe social-distancing. Using an RFID sensor, the platform is able to track the distance from the user to the other people around them. An ESP8266 module is then used for communication to a server which will log the distances and communicate them with the mobile app and website. The mobile app is used to determine whether the user has been within 6 feet of anyone and would therefore be at risk, while the website displays a Google Maps API detailing the most concentrated areas of people to avoid.
How we built it
Hardware
We used an Arduino Mega with an MFRC522 module for RFID distance functionality and an ESP8266 module for public server communication. A portable device was made for users to carry with them in their outdoors excursions. These RFID sensors are used to track the proximity of neighboring users and relay that to a server. Compared to Bluetooth and GPS location services, RFID distancing is accurate to the foot and has a very large range. Furthermore, because RFID is secure, does not track users’ data or absolute location, and only returns relative distances with other users, there are no privacy concerns for the user.
Server
The server is the middleman for the entire project. It handles all requests coming in from the arduino, iphone app, and the website. The first process that the server handles is users logging and signing in. From there the server gets a request from the arduino to update the device location. This information is then sent to a web socket that the iphone also connects to in order to view the location of other arduino devices in the area. The server then calculates the distance between devices in order to determine whether the user is within 6 feet of another user.
App
We created the app using the Flutter programming language and it allows you to connect to your RFID reader. This app will allow you to see if you are near someone else and notify you of your risk of COVID and the distance between you and the closest person. It also gives the user the option to set whitelists for people that are in their family by adding their email addresses. The app collects information on whether or not the user has been diagnosed with COVID-19 and accordingly updates the risk levels for those around them. All of the app communications are routes through the server to enhance security.
Website
We created the website using a Google Maps API paired with javascript code marking concentrated areas of people on the map. HTML/CSS was used for the formatting of the website which allows user login to view the personal coronavirus information in the form of maps and tables that is obtained through the server.
Challenges we ran into
We ran into numerous problems with wiring/programming the Arduino hardware for sensor reads and Wi-Fi communication. We were originally using a NodeMCU, but found out that it cannot handle Wi-Fi communication and RFID read simultaneously because of serial port limitations. After switching to the Arduino Mega and debugging server request issues, we were able to seamlessly implement the hardware. Furthermore, we had some issues with whitelist users on the backend because of the multiple links required for its functionality. However, we were able to develop a reliable algorithm for editing and parsing the storage structure to provide this functionality with no errors or miscommunications.
Accomplishments that we're proud of
We are especially proud that we were able to accomplish seamless Wi-Fi based server communication between 4 distinct components. Each of our 4 team members took on a component and worked together to mesh each piece together into a single, connected platform. With all of the user information, RFID identifiers, distances, and other data points that are passed between components as API parameters, we are proud that we created a platform that handles it all accurately and efficiently, all while working remotely.
What we learned
This was our first hackathon in a remote setting, so we had to learn to collaborate with each other through voice calls and coding live shares. While it was difficult at times to work on frontend/backend integration and hardware communication with other components, we were able to complete all of the functionality we originally envisioned.
What's next for Keep6
A potential next step for Keep6 would be to find a medically approved algorithm to determine the likelihood of infection for the user based on the data that the Keep6 server already tracks. Another important step to maximizing the effectiveness of this platform would be to expand to as many users as possible so that the server has more information. One way of doing this would be to make the RFID Arduino mechanism smaller and more convenient for users to carry around so that they would be more incentivized to use it.
Built With
amazon-web-services
arduino
c++
css
dart
firebase
flutter
html
javascript
node.js
react
Try it out
github.com | Keep6 | A mobile app, Arduino hardware, and website based platform to encourage and monitor safe social-distancing | ['Elias Wambugu', 'Arya Tschand', 'Albert Zou', 'Elias Wambugu', 'Sai Vedagiri'] | ['2nd Place', 'First Overall', '2nd Place'] | ['amazon-web-services', 'arduino', 'c++', 'css', 'dart', 'firebase', 'flutter', 'html', 'javascript', 'node.js', 'react'] | 1 |
9,892 | https://devpost.com/software/dsaas-decentralized-storage-as-a-service | Our login page
Home Page of our website
Managing our database entry
Showing hash
Inspiration
As a team, we have always been interested in security, and we understand just how important security is to every individual who trusts another entity with their private information. However, most database storage services are centralized, which means that if a data breach occurs, it can severely hurt the financial ecosystem solely due to entitlements. The Equifax data breach in 2017 caused up to $400,000,000 of damage, and the Facebook Cambridge Analytica Breach caused a loss of approximately $87,000,000. Although these numbers are significant, they are nothing compared to potential future losses, now that the cloud storage market is predicted to reach $97.4 billion by 2022 according to AMR. Data breaches of mega companies could cause losses of billions of dollars, which is why it is important for database storage services to migrate to a decentralized environment. This is why we created NoDeSQL.
What it does
NoDeSQL is a non-relational, decentralized database service that provides users with all of the regular functions of a normal database, but in a decentralized manner. Due to its intuitive interface and the efficiency of IPFS file-sharing, it maintains the convenience of traditional options such as MongoDB and Firebase, but allows for the security of Blockstack decentralization. It has the features of a typical NoSQL database like creating, adding to, and updating databases, but it remains decentralized to remove security threats. Due to IPFS's powerful file sharing system, this website has high efficiency and surpasses traditional options due to its powerful computation methods.
How we built it
The front end of our web application was built with React, and we used fetch api and axios to interact with the back end. We used IPFS to create the decentralized aspect of our project. We used GAIA storage to store each user's specific hash and Express for our backend.
Challenges we ran into
Some of the challenges we ran into were implementing the GAIA storage, as it was our first time doing so and reading the documentation was challenging. Also, using Visual Studio Code as our code editor, using the Live Share extension added bugs to our code, making the entire process very difficult.
Accomplishments that we're proud of
We are very proud of having the entire back-end fully functional and the website fully deployed. This is the first time we have been able to deploy a project of ours and it has always been a goal of ours, and it has become a valid indicator in showing our work is completely done and properly complete.
What we learned
We learned how to use GAIA storage, which was very interesting to implement and we also learned about how insecure current database services are, and how we can make a decentralized approach to storing data intuitive for the common user and for web3 developers.
What's next for NoDeSQL
We would like to implement other QoL features that are present in other NoSQL databases that make using other centralized forms of databases so convenient and easy.
Built With
blockstack
css
express.js
fetchapi
gaia
html5
ipfs
javascript
node.js
react
Try it out
github.com
nodesql.tech | NoDeSQL | A web application that allows users to manage a decentralized database in a private, trustless manner. | ['Aditya Keerthi', 'Daniel Yu', 'Arnav Tripathi'] | ['3rd Place', '1st Place - 1517 Grant'] | ['blockstack', 'css', 'express.js', 'fetchapi', 'gaia', 'html5', 'ipfs', 'javascript', 'node.js', 'react'] | 2 |
9,892 | https://devpost.com/software/adswap | Demo Video in Google Drive:
https://drive.google.com/drive/folders/1wyz4CgR3LrhbFvs3jzxAHnW5VGpG88s0
Inspiration
Advertisements are often distracting and can ruin a website’s user experience. However, with technologies like AdBlock, many websites are losing a significant amount of revenue. Our team devised a solution that benefits both the users and websites, while supporting researchers around the world through providing computing power.
What it does
AdSwap replaces ads with Distributed Computing jobs that run in the background, keeping the website clean and unobtrusive. Website visitors can enjoy an ad-free browsing experience while the website is paid for computation work. This also allows users to contribute towards social projects such as computation for medical research.
How I built it
On the front-end, we used ReactJS to build a functional webpage. In building the prototype web page, we were able to display how our app would run in the background, as well as how we would notify our users of the distributed computing APIs. From a back-end perspective, we used JavaScript to create boilerplate code and util functions using DCP to set the client up for mining.
Challenges I ran into
My team and I ran into multiple challenges in our implementation of the DCP APIs. As a new technology that none of us have worked with before, this category was both challenging and exciting for our entire team. Specifically, creating the solve captcha and generating the wallet for each worker posed were the most notable barriers. Although these tasks were difficult, we overcame them as a team through collaborating in an efficient manner and referring to existing documentation. Overall, I believe it was our ability to work effectively as a team that allowed us to tackle problems successfully and build out this app.
Accomplishments that I'm proud of
We’re very proud that we were able to complete a functional project that solves our focal issue. Despite the current circumstances, we got to experiment with new technology and develop new skills. This project was very rewarding as our entire team embraced the challenges and worked diligently towards our final product.
What I learned
Through this project, my team and I significantly improved our knowledge of React. In building the front-end and merging that with the Distributed Computing processes, we faced numerous challenges but were able to understand how the back-end connected with our React components. Also through working with DCP, we learned how to implement the technology and how we can use it in future projects.
What's next for adswap
AdSwap can continue to grow by introducing a platform to connect websites to Distributed Computer services so that any website can set up AdSwap features. We want to make this available and easy to use so the technology can be scaled to more users across the Internet.
Video Title: Adswap - TOhacks2020
Link to Google Drive:
https://drive.google.com/drive/folders/1wyz4CgR3LrhbFvs3jzxAHnW5VGpG88s0
Built With
bootstrap
dcp
javascript
next.js
node.js
now
react
Try it out
github.com | adswap | get rid of ads for end-user, help researchers around the world | ['Matt Alp', 'Eric Peng', 'Shairagavi Selvachandran', 'Forrest Fan'] | ['Most Innovative DCP App'] | ['bootstrap', 'dcp', 'javascript', 'next.js', 'node.js', 'now', 'react'] | 3 |
9,892 | https://devpost.com/software/fundnet | Landing page! (photo from unDraw)
The signup screen couldn't be simpler!
User dashboard: here, users can choose what to fill in
Organization dashboard: here, companies can manage their bulletins.
Editing a bulletin...
For a user: see all the bulletins on the Bulletins page.
See the bulletins that are relevant to you, by pressing the blue button.
Inspiration
Many organizations have began to offer benefits and relief measures that apply to specific demographics (e.g. students, the employed, seniors). It's easy to lose track of everything there is despite how financially important these measures are to people in need. That's why I thought of FundNet, a platform where we can see everything that applies to us.
What it does
For everyday people, make an account and you are presented with a screen where you can fill out some personal info such as your age, income, and special "attributes" (e.g. home-owner, veteran, student). Nothing is required, but each field is a way for organizations that are offering support, to target you when they publish a
bulletin
.
Organizations can create bulletins with a title, description, link, and filters that correspond with the personal info that users may fill out. For example, the CERB is limited to people fifteen years and older, and it's as simple as changing the minimum age field to 15 (along with other fields like employment status and minimum income) for the bulletin to match the appropriate audience.
How I built it
I started with a backend based on GraphQL. I decided to use a federated graph (which consists of a gateway and a few implementing services) with the power of Apollo Federation. To name-drop some other technologies I used: MongoDB Atlas to store users, organizations, and bulletins in their own collections, Mongoose to easily query and validate those models, bcrypt and jwt to hash my passwords and generate tokens (and send them as cookies), and of course Node and Express have everything run.
For the front-end, I started with create-react-app and added the appropriate packages (Apollo client, graphql-tag, etc.) to connect to my gateway. React Router helped me control the navigation of the page. I used Bulma (CSS framework) to make things look better.
Some other things: I used Illustrator for a quick logo. Landing page graphic comes from unDraw
Challenges I ran into
I overestimated how long 22.5 hours is. (Forgot I needed sleep)
Hackathon mode leads to messy code which leads to slower debugging, especially for why certain GraphQL queries weren't working
How am I going to record the video in time
Accomplishments that I'm proud of
Getting a whole project submitted in 20ish hours!
Being able to speedily develop an idea I'm passionate about
Squashed most bugs
What I learned
I went from not completely understanding the concept of GraphQL, to speedtyping & relying on queries and mutations!
I learned how a federated graph works! Thanks Apollo
I now understand just how important sleep is, if I want my typing to make sense.
In future strictly-timed events, I should put less time on UI design and more time on developing core functionality
Upon researching some information for this project, I learned a lot about various demographics and the benefits they are often eligible for.
What's next for FundNet
set up job listings: users can optionally select their location and remote work availability, and employers can create job listings that will target users (similar to how bulletins can have filters for the demographic)
clean things up from a code perspective and a design perspective too
app version of FundNet! using React Native
feedback would be appreciated :)
Built With
apollo
bcrypt
bulma
express.js
graphql
jwt
mongodb
mongoose
react
react-router
Try it out
github.com | FundNet | A platform to help everyone to keep track of benefits, relief measures, and financial opportunities. | ['Peter Lin'] | ['Best Financial Hack powered by Senso.ai'] | ['apollo', 'bcrypt', 'bulma', 'express.js', 'graphql', 'jwt', 'mongodb', 'mongoose', 'react', 'react-router'] | 4 |
9,892 | https://devpost.com/software/viewart-online | Inspiration
Because of stay-at-home orders implemented worldwide, art lovers like me no longer have the opportunity to explore museums. So, I decided to create a project that allows users to view art through augmented reality.
What it does
viewart.online is a web page where users can scan QR codes to view art from the comfort of their homes!
How I built it
I used echoAR and HTML/CSS. I also registered the domain name viewart.online with Domain.com.
Challenges I ran into
There were some issues with creating vertical art, but hopefully I can fix that in the future.
Accomplishments that I'm proud of
I'm proud that it works!
What I learned
I learned more about AR/VR.
What's next for viewart.online
In the future, I hope to add more art for users to explore. I might want to create a VR museum as well so that the experience is more immersive.
Built With
augmented-reality
css
html
Try it out
truongjessica.github.io
github.com | viewart.online | Experience beautiful artwork from the comfort of your home | [] | ['Build the best for AR/VR solution powered by EchoAR'] | ['augmented-reality', 'css', 'html'] | 5 |
9,892 | https://devpost.com/software/covid-19-hub-ge9fy4 | A prototype detailing the conversational flow of our voice app. It got pretty intricate, pretty fast!
Inspiration
Inspired by the rise and relevance of voice assistants like Google Home and Amazon Alexa, we were motivated to develop a consolidated and accessible platform through which anyone could receive relevant and reputable information on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), or
COVID-19
. The exponential growth of COVID-19 not only marks the importance of how soon we all act, but also the importance of spreading correct and fact-checked information. The target demographic for this voice application includes elderly people who may not be as accustomed to using modern technology (or would like to refrain from physical contact with devices such as phones), as well as people with disabilities. Our application,
COVID-19 Hub
has not currently been launched for everyone to use and is still in beta stages, but it very elegantly shows the beauty of modern NLP technologies such as Google's Dialogflow, making it a little bit easier for everyone to stay up-to-date with the whirlwind of information that surrounds us.
What it does
COVID-19 Hub
was designed with the intent to inform and educate, providing current statistics (including week-by-week changes to indicate the flattening of the curve), tweets from reputable organizations like the WHO or CDC, as well as actionable advice for those who think they may be developing symptoms. Invoked through voice commands, our application is responsive and conversational, assisting the user in navigating closer towards factual information without having to worry about the reputability of most sources on the Internet.
How we built it
Built using Google Dialogflow with custom fulfillment, the majority of our app's processing takes place using the Javascript invoked on the backend, using Cloud Functions for Firebase to handle external API requests. Certain portions of our app, such as providing synonymous invocations of intent ("get tweets" vs. "what are people saying on twitter") were created using Python and its well-documented NLTK library. This made the entire process of providing synonyms to Dialogflow a
lot
easier. This was done by scripting separately and using a Flask webhook to match intents to their synonymous phrases.
Challenges we ran into
Neither of us had previously used the Google Cloud platform for a medium-scale project such as this one, so we had to go through tons of Dialogflow documentation to understand how to create custom intents, how to use Firebase to deploy our webhook code, and how to perform external API calls in our fulfillment requests. Krish was also new to hackathons and coding, so it was a challenging yet rewarding process getting him up to speed with the technologies used in this project.
Accomplishments that we're proud of
For starters, we both love to use our voice application, as it saves us a ton of time and effort Googling the information, scrolling through Twitter, or looking for relevant news articles. After introducing the voice app to our parents, they also really enjoyed its simplicity and ease-of-use, asking us both to add this app to
all
the Google Home Minis in our house. Now, no matter where we are, we can always receive updated and fact-checked information on COVID-19.
What we learned
How to design a conversational voice agent, how to mimic realistic conversation flows, how to use Google Dialogflow.
What's next for COVID-19 Hub
Implementation with Google's NoSQL Firebase datastore to cache information on symptoms and disease prevention, saving us valuable time in performing API calls on information that we already have access to. We were also thinking of providing updates on vaccine development and financial movements in the stock market in response to the increased spread of the virus.
Built With
dialogflow
firebase
flask
google-cloud
javascript
node.js
python
Try it out
github.com | COVID-19 Hub | An accessible voice application providing relevant information on COVID-19, including current statistics, tweets, news articles, and even advice on symptoms. | ['Parth Chopra', 'Krish Chopra'] | ['Best Use of Google Cloud - Use any Google Cloud product in your project (Firebase counts!)'] | ['dialogflow', 'firebase', 'flask', 'google-cloud', 'javascript', 'node.js', 'python'] | 6 |
9,892 | https://devpost.com/software/phase-hnjl29 | Inspiration
During the COVID-19 pandemic, essential workers on the front lines push themselves everyday for the good of society. We were inspired by our friends and families who are out working right now.
Our good friend Aubrey is a nurse. She has an extreme work schedule of 12 hour night shifts 7 days on and 7 days off. Her shift starts at 8pm and ends at 8am. This schedule, while beneficial for a 24/7 operation, creates the largest misalignment of the body's endogenous circadian clock possible. This is known as a 12 hour phase advance. Most people experience large phase advances in the form of
jet lag
. A phase advance of this magnitude has been proven to cause daytime sleepiness, decreased alertness, loss of concentration, impaired performance, fatigue, irritability, disorientation, and depressed mood. Also, academic research has proven that medical workers create up to 5 times the number of diagnostic errors and make 300% more errors leading to a patient’s death due to sleep deprivation.
This large of a phase shift is daunting to anyone however, with the proper tools, data, and planning, a sleeping schedule can be generated to navigate through the shift.
This is why we created
phase
What it does
phase
is designed to help anyone that has large phase advances in their weekly schedules. We know nurses, doctors, control room operators, and grocery store restockers that all suffer from this.
Here is an example of a frontline worker's bedtime before using
phase
In the graphic, Aubrey transitions to their new bedtime quickly and aggressively. This sharp transition has many negative health side effects and leaves her staying awake well over 24 hours on her first shift. phase combats these effects by pre planning a sleep schedule.
By preplanning a sleep schedule, phase can alter her wake and sleep times leading up to a shift change. This planning creates a smooth transition between working shifts alleviating the symptoms of large phase advances. In addition to sleep planning, we can accelerate circadian phase transitions through changes in melatonin, caffeine, and light exposure. The app understands all these factors and uses them to calculate the perfect sleep schedule.
How we built it
We designed and built phase as a mobile app so frontline workers could carry their sleep schedules anywhere. We put a lot of thought into the user experience and design to create the best transition possible between sleep schedules. The algorithm running the scheduler is hosted on Google Cloud Functions because of its high computational complexity.
Shift sleep cycle to new timezone as fast as possible
We can encourage a faster phase advance with doses of bright light, caffeine, and melatonin. By administering these supplements at the appropriate times, Aubrey’s endogenous circadian clock target can be reached faster.
Light Time
Light Phase Response Curve shows how exposure to light, at specific times, will have the greatest impact on a phase advance. Based on this research, we created our algorithm to take advantage of these peaks for better results.
Supplement Intake
Melatonin Phase Response Curves give us specific dosage windows for the greatest effect on phase advancement. Also, caffeine is used at the start of every day to increase alertness and trigger the morning circadian response. Getting the user’s metabolic rate estimation from their age and weight, we are able to interpolate between regular suggested dosages and scale according to how drastic the change is.
Challenges we ran into
When designing the algorithm to generate schedules, complexity was a major concern. We didn’t want to run such a computationally expensive piece of code on the user’s phone. Luckily, with google cloud functions, we could centralize our algorithm and leverage gcp’s hardware to create a more seamless experience on our app. Now the app can generate schedules almost instantaneously to the user, but behind the scenes we have a proper pipeline setup through Google glcoud platform.
Accomplishments that we're proud of
We are proud that this fully functioning app is built on real scientific data and tackles a real tangible problem. We truly believe that phase has the ability to reduce the effects of sleep deprivation and improve quality of life of all frontline responders during this crisis.
We also are proud of how the team has been able to manage this new remote format and 24 time constraint. Our team is made up of an unusual assortment of relatively new hackers. Our team was able to produce a quality application with beautiful design, documentation, and a video.
What we learned
We learned how challenging it can be to create an algorithm that correctly adopts the scientific research being used to support our application. We spent extra time understanding how light, caffeine, and melatonin impact the body to make sure phase generates the healthiest schedule possible.
Some of our highlights from research include:
Light and melatonin exposure need to occur at specific times of the day to maximize their potency
Phase advances and phase delays and the effects on the circadian rhythm
It was surprising to see how much of an effect sleep deprivation has on job performance
The importance of avoiding unnecessary computational burden on the phone by offloading algorithm computation to Google Cloud Platform.
Not only do we now know these facts, we also know how researchers were able to determine these things
Main bodies of research:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829880/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4629843/
What's next for Phase
The next phase is to add on functionality for alarms and home assistants such as Google Home in which phase can control your house’s light levels to ensure proper light exposure. We believe that light exposure has one of the largest impacts on getting a quality night’s sleep, and home assistant support will give our user base a chance at end-to-end light exposure control.
Built With
gcp
google
python
swift
Try it out
github.com | phase | Phase protects frontline workers from the ill effects of sleep deprivation by properly planning phase advances and their circadian rhythm | ['Kenneth Sandon', 'Jon Logrippo', 'Matthew Krager', 'Matt Masamori'] | ['Best Use of Google Cloud - Use any Google Cloud product in your project (Firebase counts!)'] | ['gcp', 'google', 'python', 'swift'] | 7 |
9,892 | https://devpost.com/software/puppr | Inspiration
There has been an increase in animal adoptions during the pandemic due to social isolation and loneliness. But once the quarantine is over, this platform is created to help people who were not able to get themselves a pet during that time. This is to support people reentering back into society from isolation and to also aid in their mental health from the long-term isolation. Helping people + adopting dogs = two birds with one stone.
What it does
Upon entering the website, it provides a welcoming introduction to the platform. As the user scrolls, they will see success stories from using puppr. When clicking to sign up, an alert pops up to notify the user of the rules to use the platform. After continuing, it leads to the profile creation page, where the user will fill in their information and dog preferences, which is used to match with dogs from shelters on the next page. The dogs that the user matches with will be provided a link to the dog's profile page on the shelter website.
How we built it
Using HTML, CSS, and Javascript, the front-end was created for all the pages. The backend consists of python to web scrap the shelter and the information given from the shelter on the dog and stored in firebase, where the user's profile information is also stored. Figma was used to create a design of the website.
For the back-end, we built an API using Flask to gather information from animal shelters. We deployed our Flask app to Google App Engine. The backend data that is scrapped from the animal shelter website and is then displayed below the dog's photos. The backend allows for the user's preferences to be compared with the dog's information, and then from there, the platform shows you the dogs that match the user's inputted information.
If matched, the user can click on the dog's photo and it will link them to the shelter's webpage with the dog's profile.
Challenges we ran into
We initially had issues deploying our Flask app, but resolved the issue by re-configuring our web service files. For front-end, the implementation of our API to Javascript gave us latency issues and would sometimes cause one file to work but not others.
Other than that, working virtually from home was definitely the hardest aspect, where we had to use Git to get each other's code and understand what we are doing individually.
What we Learned
We learned how to build and deploy a Flask app to Google App Engine, but it was complicated to integrate that into our code. Putting a strong emphasis on the design and front-end of this project shows how essential it is to have for a website to look and work like a professional one.
Domain registered with Domain.com
We registered a domain:
AdoptADoggo.online
Accomplishments that we're proud of
We built a professional-looking website that gathers data from real shelters, and we as well built an API that can be used in future projects. It taught us a lot during the experience that we've never done before. Before making this project, we haven't made a website that contained a database before. By learning during the process how to implement that gave us challenges but ultimately informed us more on how to start professionally creating a website.
Built With
axios
css
figma
firebase
flask
google-app-engine
html
javascript
json
python | puppr | A platform to connect you with dogs in need, matched with love <3 | ['Lam Pham', 'Keaton Lees', 'Samantha Orizabal'] | ['Best Domain Registered with Domain.com'] | ['axios', 'css', 'figma', 'firebase', 'flask', 'google-app-engine', 'html', 'javascript', 'json', 'python'] | 8 |
9,892 | https://devpost.com/software/refillr | Startup Page
Inspiration
The inspiration for this project was to reduce human effort and to promote the ease of completing distant legal paperwork. As one of the oldest industries, it continues to lack to ability to transform technologically and advance towards the future. There are also extenuating factors such as COVID-19 that restrict individuals from interactions. This project continues to justify the use of automation to reduce human interaction and resolve matters in an accelerated manner.
What it does
This project allows the user to complete the needed documents by entering the necessary information required by the form. This project then compiles the information into a completed form which is finally sent for approval directly to the lawyer or judge. In specific situations, for example, a divorce the documentation is standard and the paperwork that follows can be easily automated by two parties that mutually agree upon the conditions. The automation for the document can be the names of the parties involved, date of birth, address, etc.
How we built it
We have built a website using various resources that range from Bootstrap, Brackets and VS code which are used to input information on the website which is then stored. This stored information is then used by UiPath to compile and finalize the forms in Word Format. In the creation of the website, we referred to online CSS files as well that provided support to better customize the documents. The process of creating the website was taken in stages, as we created the UX design to outline the proper formation of the product, followed by the appropriate code to follow. The languages involved in the creation of the website were CSS/HTML and Python in a Flask framework. In regards to the UiPath, the final objective was to create a form that captures text and processes the data to replace the documentation. This enables the admin to monitor the data that is apprehended by the software and easily automate the information.
Challenges we ran into
In each step of the process, there were several challenges that we encountered. First and foremost, understanding the UiPath technology created difficultly from the start in regards to assessing how the implementation should occur. From the start, our original idea was feasible and appeared to be valid using the technology. We had the right tools (e.g. template contract) from the start, however, we had to understand how to use those tools to realize our idea.
Accomplishments that we're proud of
As this was the first hackathon for each team member, we are surely proud of the journey that led us here. We all met each other as strangers online from different cities & provinces, however we have managed to have consistent communication, collaboration and dedication for the finish line. We all entered this hackathon to learn and develop our skills, and we part ways 24 hours later having gone beyond our goals. From learning a new automation technology to sharpening our front-end skills, each member greatly contributed to the team.
What we learned
At this hackathon, we learned how to use UiPath, Github, Bootstrap and great communication during an online hackathon!
What's next for Refillr
As this hackathon wraps up, we are proud of the depth we've made to get where we are now. To continue along this path, we want to provide other forms of documentation that are available in the legal sector. For example, the Immigration and Consumer Protection are both specific sectors that can benefit from our platform. Moreover, we envision the company to grow into other industries such as medicine. Similarly to the legal industry, the medical field has also had a very slow pace to technologically transfer their data. This can be resolved with our platform that would not have an extreme cost and easily accessible.
Built With
bootstrap
cmd
figma
flask
python
uipath
vscode
Try it out
github.com | Refillr | Refillr enables legal professionals to save time by automating repetitive and tedious tasks by completing forms for them. | ['Nutan Nimkar', 'samimerhi', 'Turja Chowdhury'] | ['Best UiPath Automation Hack'] | ['bootstrap', 'cmd', 'figma', 'flask', 'python', 'uipath', 'vscode'] | 9 |
9,892 | https://devpost.com/software/igraduated | Mockup Design
Adobe XD to organize and develop designs for websites
Style Guide
SendGrid v3 Web API to send diploma via email once the graduation ends
MongoDB Atlas to store students/participants information
Inspiration
Will I be able to have a graduation ceremony to recognize my years of hard work in university?
Will I be graduating on Zoom? Will it be on ClubPenguin? Facetime? How will I even receive my diploma?
With all the uncertainty about whether or not a commencement will take place and how, we have created the perfect virtual graduation. No matter the location, friends, family, and close-ones from all over are able to celebrate and congratulate the graduate.
What it does
We created an application that imitates the flow of a standard graduation ceremony. Users will be given two options from the main page: Join a Ceremony or Create a Ceremony. We will be working under the assumption that students will not be creating the ceremony. Once the Create a Ceremony card is clicked, users will be redirected to a create room page. Within this page, they will be required to input information such as University name to create the room. One thing to highlight here is that only the creator of the room will be given an access to two buttons within the room: Start Graduation and Next Student. Once users click on the Join a Ceremony card, a modal containing several input boxes will pop up on the screen. One of these input boxes will be roomID, which gets generated once the room gets created. In order to access the correct room, users will have to have correct roomID.
Upon everyone joining the room, the creator of the room will be able to start the graduation by clicking on the Start Graduation button located on the upper right corner of the screen. The graduation will start out with the welcoming narration. Once the narration ends, the creator will be able to click on the Next Student button to bring up the student's webcam. From here on, everything will happen automatically. The narration will instruct students and the webcam will automatically switch. One thing that we really wanted to highlight was the idea of walking on the podium stage. Given that we will have an access to all students' webcam, we wanted to somehow make the transition of each webcam seem as if they are walking in and out of the stage. To get this effect, we took advantage of fade in and out animation. We also used ml5.js to detect a receiving motion from students. This was done to allow students to feel as if they are in a live graduation. Once the motion gets detected, a quick animation of diploma sliding will show as well. One last thing to mention is that we implemented a live-chat for everyone in the room to communicate. For a live-chat we decided to use Google Cloud Natural Language to detect any disrespectful comments. Depending on the sentiment of the message, we will either alert the user or not allow them to send the message.
How we built it
Frontend
The frontend was developed with React (Material UI and Ant Design) and consists of four primary views:
Main Page: consists of two clickable cards that allows users to decide whether they want to join or create a room
Modal: consists of several input boxes that users need to enter to join the room (one field of input will be a room ID which will be generated once the room gets created)
Create Room Page: consists of several input boxes that will be used within the room and to generate narration
Room: contains webcam and live-chat for users to communicate during the graduation
Backend
Socket.io: to generate graduation rooms
ml5.js posenet: Ml5.js is a high level interface for tensorflow. We used Posenet, one of their many pre-trained models to detect when a motion is received
Twilio Sendgrid Email API: to send diplomas via email once the graduation ends
MongoDB Atlas: to store participants information
Following GCP services were used:
Google Cloud Text-to-Speech:
to generate graduation narration speech. We used the input from users (student full name, university name, and graduation year) to generate custom graduation speeches that emphasize the importance of the occasion.
Google Cloud Natural Language:
to filter out and deny any disrespectful chat messages. Whenever a participant sends a message via our chatroom, we first run that message through a profanity filter to ensure there are no curse or inappropriate words. After that, we run that message through the sentiment analysis to ensure that the message is positive.
Challenges we ran into
Our team had a hard time getting the animations to work properly
Had a hard time getting each person’s webcam to transition
Accomplishments that we're proud of
Being able to stream video and google text to speech audio through socket.io
Getting flashy designs to work
What's next for iGraduated
Sending a personalized diploma when we send a email to
Graduation cap filter in the webcam
Allow family and friends to participate
Built With
adobe
express.js
google-cloud
mongodb
node.js
react
socket.io
twilio
Try it out
github.com
i-graduated.herokuapp.com | iGraduated | Grab your cap and gown, turn on your camera, and virtually celebrate with your graduating class. | ['Donghyeon Son', 'Michelle Kim', 'Seung Joon Rhee', 'Edwin Yu'] | ['Best use of MongoDB Atlas'] | ['adobe', 'express.js', 'google-cloud', 'mongodb', 'node.js', 'react', 'socket.io', 'twilio'] | 10 |
9,892 | https://devpost.com/software/q-37e6wm | Login screen
Choosing a Blockstack ID
Searching for a store
Search result
Current store queue information
Joining the store queue
Inspiration
We were inspired to create Q... after hearing of our parents' struggles waiting in long lines to get groceries for our families in the midst of the COVID-19 global pandemic. Despite the spacing strategy that stores currently use, physically waiting in line still puts customers at risk of infection because there is still a chance of infection even with the moderate distancing. With this in mind, we set out to create something that would mitigate this problem.
What it does
Q... is an application that uses the Google Cloud APIs and creates a virtual line up so that customers can wait from the safety of their cars. By providing customers with an option to remotely add themselves to a queue, we can make it easier for people to maintain social distance in this challenging time. On our web application, customers would be able to compare the capacity of multiple stores and join and leave a queue with a personalized BloackStack ID. Store managers would be able to better control the number of people they let in the store.
How I built it
Q... is built using both React and Blockstack. The individual user logins and IDs were created by integrating Blockstack with our React application so that users could maintain the privacy of their locations while also giving us a way to count individual customers. The functionalities and visual aspects of the application were made using React js and implement the Google Places API from the Google Cloud APIs library to retrieve a JSON file containing the resulting information from the user's store search. The Google Maps API is then used to create an interactive visual map of the user's desired stores. Once the JSON file has been retrieved, the application displays the store name and then stores the unique address of the user's store if it hasn't been already previously stored by a different user and creates a new virtual queue for the store. If the unique address has already been stored, then the user will simply add themself to the line-up at the selected store and then remove themselves from the queue when they enter the store.
Challenges we ran into
Our team was quite new to React so we ran into the challenge of having to learn a large portion of the language as we went on creating the application.
Our team had never used Blockstack before so at first, we didn't know how to use it with the React portion of the application.
We ran into some trouble when making HTTP requests and with the Google Cloud API keys.
Accomplishments that we are proud of
We are very proud that we were able to significantly enhance our knowledge of React and web application development. We are also proud that we were able to successfully use Blockstack, as we had viewed using it as a seemingly impossible task when we first started the project due to its novelty to us. However, the accomplishment that we are the proudest of is that we were able to create something that can actually help keep people safe and have a positive impact on the world around us.
What we learned
Programming with React
Blockstack
What's next for Q...
In the future, we plan on adding more features as well as adjusting our application according to the changing conditions. Looking into the future, when strict social distancing policies are no longer held in place, yet it is still important to maintain social distancing to decrease the risk of a second spike, Q... could make it easier for stores and essential services to maintain social distancing measures and keep everyone safe.
...
Built With
blockstack
css
git
github
google-cloud
google-maps
google-places
html5
javascript
react
Try it out
github.com | Q... | An online queue tracker for grocery stores to increase the efficiency of customer management in the midst of COVID-19 while maintain social distancing. | ['Julia Liu', 'Shi Han Qin', 'Andrew Zhan', 'Wen Zhang'] | ['Best use of Blockstack'] | ['blockstack', 'css', 'git', 'github', 'google-cloud', 'google-maps', 'google-places', 'html5', 'javascript', 'react'] | 11 |
9,892 | https://devpost.com/software/who-s-coffin | Inspiration
During this quarantine, we got sick and tired of scrolling through social media and overused filters that didn't highlight what's happening in the real world around us. We decided to use the power of social media to encourage others to stay at home and safe during this pandemic.
What it does
It's an interactive augmented reality filter that can be used on some of the most popular social media platforms. It involves a viral meme with a strong message to remind the community to stay strong and that we're all in this together.
Initially, a user is shown to be wearing a face mask on their face in 3D space, as soon as a 'smile' is detected, the face mask is lowered and audio starts playing the background and a picture of the 'coffin meme' is visible. When a smile is detected again, the mask is pulled up again and the audio stops playing in the background.
How we built it
We mainly used the Spark AR studio and Photoshop/ Video editing tools to build this augmented reality-based filter.
Challenges we ran into
It was our first time using Spark AR studio and working on a 3 Dimensional interface. We slowly understood the power of Augmented Reality and its simple but practical applications in today's world.
Accomplishments that we're proud of
We were able to complete this project that could successfully (and hopefully) be launched, within simply 24 hours.
What we learned
AR and its applications.
Photoshop
Video Editing
3D space visualization
What's next for "Who's Coffin?"
We hope to improve our AR filter and build more advanced AR concepts that could help in our day to day activities.
Built With
photoshop
sparkarstudio
Try it out
github.com | Who's Coffin? | Instagram and Facebook filter | ['Shivam Ajmera', 'Ankur Phadke', 'Shivam Saraf', 'Arnav Gupta'] | ['Facebook Spark AR Sticker Challenge'] | ['photoshop', 'sparkarstudio'] | 12 |
9,892 | https://devpost.com/software/homebody | Be sure to view all images in full screen to get the highest quality view!
The homescreen tracks the users social distancing habits on a calendar and also has a leaderboard to compete with friends.
This popup message appears when the user leaves their home.
Inspiration
The inspiration for our project came from a desire to improve people’s safety in this time of hardship, where even the simple act of going grocery shopping puts the lives of those closest to you (literally close to you) at risk. By adding both a social and competitive aspect to the task of staying indoors our goal was to replace the in-person social activity with an entertaining alternative.
What it does
During the COVID-19 pandemic, it is important to self-isolate as much as possible, that is why we have created HomeBody! HomeBody is an app that tracks the number of days you have been social distancing and it compares your streak with your friends’ to see who has the longest streak.
Every time you need to leave the house to get groceries, a pop-up message will appear so you can indicate the reason why you have to leave the house. You will be prompted to choose one of four options: to go get groceries, to go on a walk, an “other” option that allows you to be 6ft away from everyone, and an “other” option that doesn’t. Each option has a different effect on your social distancing streak, depending on how well that trip outside your house can guarantee self-isolation.
How we built it
First, the design was made using Figma, which allowed us to create the user interface that we were looking for. The code from Figma was then transferred to Android Studio to bring the user interface to life. We used android-studio to build the app in java. In addition, we imported the Radar SDK and used its geofences to activate the prompt in the user’s phone. Finally, we used the interactive buttons on android-studio to let the user indicate the type of activity they are going to do and maintain or lose the social distancing streak accordingly.
Challenges we ran into
The code that Figma provided is not easy to implement on android-studio, so getting the user interface that we had previously designed was a bit more challenging than we expected.
In addition, integrating the Radar SDK into our app was a challenge that we ran into, which required a deep dive into the Radar documentation, and a lot of debugging in our java code.
Accomplishments that we're proud of
This project was the first time everyone on our team used Android Studio on a project. We are proud not only to have learned how to use this software, but also to have been able to create a working prototype for an idea in a relatively short amount of time. It was hugely gratifying to see our app run on an actual android phone the way we envisioned. Implementing Radar’s geofence technology was also the first experience any of us had with incorporating an SDK into a project.
What we learned
We learned a lot about android studio, as well as app development. No one on our team had ever created an app for any sort of project, so it was brand new territory for us! We also learned how to use the Radar SDK to track a user’s location and use that information to trigger an event in our app.
What's next for HomeBody
The biggest question for HomeBody is what will happen to it once the pandemic is over. Due to the social distancing measures that most countries have employed, the pollution levels in the environment have been positively affected. So, we think that HomeBody could add the environmental aspect in a future when coronavirus is not threatening. It could track how often you leave the house and if you use the car to see how much you are contributing to pollution by taking the car instead of walking or taking public transport. We would like to incorporate an environmental score into our leaderboard system as well!
Built With
android-studio
figma
java
radar.io
Try it out
github.com | HomeBody | Help keep your community safe by competing with friends to see who's the best social distancer! | ['Douglas Szeto', 'Lorna Fernández Ciruela', 'Zoé Ducroux', 'Mathis Renier'] | ['Most Creative Radar Hack'] | ['android-studio', 'figma', 'java', 'radar.io'] | 13 |
9,892 | https://devpost.com/software/auxilium-zk6u4n | Inspiration
For street artists, performing and showcasing their work in public has been their lifeline. But as a result of the SARS-CoV-2 pandemic, bustling streets have turned into ghost towns—cutting off the entirety of street artists' income.
Graffiti Allii aims to provide a virtual space for street artists to showcase their work and earn donations. TO Hacks asked us to solve a social problem. We alleviate the pervasive issue of artist disenfranchisement, something that has been exacerbated by Covid-19. Graffiti Allii was inspired by the issue of people who are having difficulty supporting themselves during the Covid-19 pandemic, as well as the influx of art and expression being posted on social media platforms as a way to cope with the pandemic.
What it does
Our site is an interactive platform that allows users to experience a virtual graffiti alley, or add to it; visitors are able to be immersed in street art and culture in their own homes. Not only does Graffiti Allii allow street artists to post their artworks, music or performances, it also allows others to donate money to their accounts to support them.
How we built it
Our team built the website through Google sites, and used artworks created by our team as exemplars in the artwork section. We also made and attached a google forms for public submissions.
Challenges we ran into
We were challenged with selecting a program that we can handle, selecting an appropriate platform to create a website that is accessible for all team members.
Accomplishments that we're proud of
We’re proud of the layout and design of our website.
What we learned
Our team has learned that with an open mind, anyone can create anything.
What's next for Graffiti Allii
We plan to turn this into a non-profit organization, so that we can support street artists during these trying times. We also hope to continue after the pandemic to let those who do not live in the city or certain areas to experience street art as well.
Built With
google-sites
Try it out
sites.google.com | Graffiti Allii | A platform to support street artists, while allowing people to learn about other’s cultures during the COVID-19 pandemic in which they are disproportionately affected. | ['Kelly Qu', 'Zoe C', 'Angelina Zheng', 'Ivy Sun'] | [] | ['google-sites'] | 14 |
9,892 | https://devpost.com/software/time-to-clean | Inspiration
Sick people spread germs, it's what they do. We wanted to build an application that can connect to a camera and alert users of what objects are most subjected to the droplets and aerosols of a sneeze or cough.
What it does
So far, we have built the skeleton of this project on android studio and configured the use of OpenCV with our application to view the
How I built it
We used Android Studio with Java and OpenCV to get a baseline application working.
Challenges I ran into
We were pretty new to Andriod Studio and it took us a while to learn the basics. Additionally, we spent a long time learning how to use OpenCV modules in Andriod Studio as well as resolving some git conflicts.
Accomplishments that I'm proud of
We were able to learn Andriod Studio in order to make good progress on our idea and get OpenCV working in our app.
What I learned
We learned more Andriod Studio and how to resolve git conflicts in our code.
What's next for Time To Clean
We plan on utilizing a TensorFlow lite API in order to detect objects in a given room and then use openCV to interface some sort of rendered graph of the layout of our room. In order to complete our app, we then plan on implementing a sneeze detection model to be trained to recognize a person sneezing.
Built With
android-studio
java
opencv
tensorflow
Try it out
github.com | Time To Clean | Detect Objects in a Room to Alert users of the spread of sneezes. | ['John Graham', 'Minyi Ma'] | [] | ['android-studio', 'java', 'opencv', 'tensorflow'] | 15 |
9,892 | https://devpost.com/software/happysadsmile | Inspiration
Wanted to make something cool
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for HappySadSmile
Built With
cloud
flask
opencv
python | HappySadSmile | Emotion detection based on what site you visit during a session. | ['Waris Z', 'Eric Huang', 'Yash Matharu'] | [] | ['cloud', 'flask', 'opencv', 'python'] | 16 |
9,892 | https://devpost.com/software/terra-toronto-hacks | Terra
This project was generated with
Angular CLI
version 8.1.1.
Development server
Run
ng serve
for a dev server. Navigate to
http://localhost:4200/
. The app will automatically reload if you change any of the source files.
Code scaffolding
Run
ng generate component component-name
to generate a new component. You can also use
ng generate directive|pipe|service|class|guard|interface|enum|module
.
Build
Run
ng build
to build the project. The build artifacts will be stored in the
dist/
directory. Use the
--prod
flag for a production build.
Running unit tests
Run
ng test
to execute the unit tests via
Karma
.
Running end-to-end tests
Run
ng e2e
to execute the end-to-end tests via
Protractor
.
Further help
To get more help on the Angular CLI use
ng help
or go check out the
Angular CLI README
.
Built With
angular.js
css
date-fns
firebase
font-awesome
html
javascript
material-ui
typescript
Try it out
github.com
terra-io.web.app | Terra | Terra is a contact tracing application that notifies their potential exposure risk and provides community overall risk using aggregate risk of the population. Link: https://terra-io.web.app/covid/risk | ['Veer Sandhu'] | [] | ['angular.js', 'css', 'date-fns', 'firebase', 'font-awesome', 'html', 'javascript', 'material-ui', 'typescript'] | 17 |
9,892 | https://devpost.com/software/social-distance-detection | Analytics
Inspiration
The pandemic may end but the lifestyle it has introduced is here to stay. The hygiene and sanitary habits induced by the onset of the pandemic are soon to become the norm. Moreover, a strict lockdown can’t be imposed for prolonged spells of time. Eventually, markets would have to be opened and workplaces would be allowed to function under strict regulations in order to sustain human life and well-being. This pandemic poses a global crisis and we must dedicate our brainpower to combating it. Now in the absence of any vaccine or cure, the only strategy is to diligently practice social distancing. Through our project, we wish to encourage such norms.
What it does
The project observes people in workplaces or other places susceptible to crowds and monitors how well people are following the social distancing norms. Our project also gives real-time analytics to identify potential hotspots as soon as possible. This could also be used to compare Social Distancing patterns in different parts of the world.
How we built it
We used OpenCV's built in DNN algorithm along with YoloV3 Darknet with the COCO dataset to detect pedestrians. And constructed our own image distance algorithms.
Challenges we ran into
Measuring distances on an image
Detecting herds of pedestrians walking together.
Accomplishments that we're proud of
Finally coming up with an acceptable image distance measurement algorithm.
What we learned
How to operate complex object detection models such as YoloV3 along with OpenCV's built in Neural Network.
We also learned how to plot animated graphs using matplotlib
What's next for Safe Crowds
Incorporating AI powered facial recognition algorithms to pull up the details from a database of the people identified in the video and sending alerts if necessary.
Refining distance measurement in images using stereo camera or dual camera algorithms.
Incorporating cough-detection machine learning models and body temperature detection using IR technology to detect individuals who should isolate themselves.
Built With
opencv
python
yolov3
Try it out
github.com | Safe Crowds | Keep your distance | ['Raghav Saboo', 'Akshath Chaudhary', 'Shriram Holla', 'Kartikey Sinha'] | [] | ['opencv', 'python', 'yolov3'] | 18 |
9,892 | https://devpost.com/software/evolution-of-education-system | Greetings from Greece.
Evolution of education system in pandemic times for safety reasons
Scientists should create a Massive Open Online Courses (MOOCs) online cloud platform with Open Educational Resources [OERs (after the supervision of top scientists on each field)], with Open Access Repositories (after the supervision of top scientists on each field), with online tests, with a forum that will contain all subjects separately in order to there is interaction & with certifications after examinations for each subject (after a price for the upkeep of the Universities – Institutions) on a national level from the best Universities – Institutions on each field separately of each country separately in their language & they should create a MOOCs online cloud platform with OERs (after the supervision of top scientists on each field), with Open Access Repositories (after the supervision of top scientists on each field), with online tests, with a forum that will contain all subjects separately in order to there is interaction & with certifications after examinations for each subject (after a price for the upkeep of the Universities – Institutions) on a global level from the best Universities – Institutions on each field separately of the world on the global language (English language).
There must be also online seminars, meetings, workshops, soirees, conferences & etc with the ability of interaction in the end of them inside from those cloud platforms that will contain mass communications & simultaneously continuously challenges (with prizes in order to there are motivations) in their languages from their biggest Institutions & Organizations & on a global level & on the global language (English language) from the biggest Institutions & Organizations of the world.
The Organizations & companies will absorb the people who will be ready with the correct knowledge inside from the online platform for internships in order to take the people & experience. The Organizations & companies can hire the best of them after a review for permanent work in order to cover their needs.
All these moves will enrich the people’s minds with the right knowledge & experience in order to shape a brighter future for our common planet & universe inside from the innovations, inventions & discoveries that will exist continuously.
Sources:
https://www.google.com/
https://www.youtube.com/
https://www.ted.com/
https://www.wikipedia.org/
Try it out
globalisation.gr | Evolution of Education System | Evolution of education system. | [] | [] | [] | 19 |
9,892 | https://devpost.com/software/asciikarate-5487dh | corona virus => lots of free time => lots of time spent in linux => wanna break from programing => a rough linux game => ASCIIKarate => a great learning experience with my brother Isaac => over all a great time | AsciiKarate | bored with work? | ['jessica.bohm Bohm'] | [] | [] | 20 |
9,892 | https://devpost.com/software/corona-stats-website | Website interface
Inspiration
I wanted to build a simple website that can be accessed by people easily to get information about the Corona Virus pandemic.
What it does
It displays the statistics of corona Virus pandemic for the selected country and date.
How I built it
I built it using
vanilla javascript, leaflet.js
and the_ rapid api_.
Challenges I ran into
The major challenge I faced was to understand the concept of APIs and how to use it to access information in JSON format.
Accomplishments that I'm proud of
I learnt how to use APIs and some additional Javascript libraries. I also have successfully revised my front-end skills.
What I learned
i learnt how to create a website that displays some relevant information in visually beautiful ways and can be accessed by all.
What's next for Corona Stats website
Next, I aim to integrate the
IBM Watson chatbot
so that people can ask the bot about some relevant information about coronavirus to the chabot like symptoms, availability of medicines etc.
Built With
javascript
leaflet.js
rapidapi
Try it out
www.covidmap.tech | Corona Stats website | Its a website that gives information about the statistics of Corona virus pandemic according to specified country and chosen date. | ['Avhijit Nair'] | [] | ['javascript', 'leaflet.js', 'rapidapi'] | 21 |
9,892 | https://devpost.com/software/socialsiren | Cross-platform compatibility using Flutter.
When "Sick" is selected on one user, the other user is warned.
They are warned based on their proximity to each other using GPS coordinates.
What is Social Siren?
A social distancing tool that alerts the app user when they're in proximity of a sick person. Created using geolocation in Flutter, which livestreams GPS data to a Node.js server that uploads to MongoDB Atlas. It is a powerful application because it has the ability to instantly go cross-platform and everything is stored/backed up in the cloud.
Inspiration
With the novel coronavirus, social distancing is essential. When leaving the house for grocery shopping and other essential activities, we get exposed to others. For the at-risk population, it is essential that if they've ever been potentially exposed they are alerted immediately.
What It Does
Geolocation Live-streaming
The application monitors all users through a centralized MongoDB Atlas database and notifies them when they’re around a person who is sick. The latitude and longitude of each user is captured every second and if a healthy user happens to be near a sick user, the healthy user would be notified of a potential threat to their health. It focuses on anonymity and privacy by storing random user ids in the cloud rather than any names.
How We Built It
We used Flutter to create the frontend and tested it on both Android and iOS with no issues. We used Node.js/Express for our server, and of course the amazing MongoDB Atlas for our database. We chose Mongo and Node since JSON formatting is super intuitive and user-friendly.
What we learned
Two of our team members learned Flutter/Dart for the first time. We all learned how to collaborate remotely using design tools such as Figma and using repository tools such as Github. One of our team members also taught another how to use Git Bash and push/pull/commit to project branches. It was a very fun experience, but I’m sure it would have been more fun in person!
What's next for SocialSiren
We hope to improve the Node.js Schema model to only PATCH/PUT the longitude and latitude rather than the entire user schema and improve anonymity measures through bcryptjs. Ideally, we'd want to decentralize and let each phone communicate/find distances through Bluetooth since at scale doing all of those calculations would be impossible. Another advantage of Bluetooth would be the more accurate distances it returns rather than the standard longitude and latitude GPS positions. Calculating people within proximity for thousands of users could be very well optimized but our current model is simply a demo concept and is not meant for any sort of production or testing. In terms of computing power, we could put the Node.js server on a cloud computer like a DigitalOcean Droplet and use physical emulators to decrease our latency since everything was running on one computer.
Built With
figma
flutter
mongodb
node.js
Try it out
github.com | Social Siren | A Tool for Monitoring Social Distancing | ['Nicholas Vitebsky', 'Shreya C', 'Kanishq Kancharla', 'Austin Fitz'] | [] | ['figma', 'flutter', 'mongodb', 'node.js'] | 22 |
9,892 | https://devpost.com/software/60hours | inspiration
We wanted to address a problem that is stigmatized across the world - Loneliness. Many people are lonely but too ashamed or afraid to talk about it. Furthermore, when people mention that they are meeting friends online, they are questioned about having ulterior motives.
Our name 60hours comes from a study that shows it takes on average 60 hours for a new acquaintance to be considered a friend.
To bridge the gap, we are making an app that is a digital hub for you to share activities and moments with someone new, or deepen your connection with current friends.
We want to be the driving force of an ever-evolving digital population
What it does
Encourages deeper connection by prompting users to participate in activities together for at least 60 hours. Our collection of activities ranging from movies to online shopping to video games, bringing the world to your own room with a single link. Our core goal is to help you build deeper connections; our five friends feature allows these strong connections to flourish. This feature allows you to only have 5 pending friends at a time to force these strong connections. After a connection of yours has reached the friend status, you are given another opportunity to make another strong connection. But don’t forget to maintain friends you’ve already made! Inviting them to watch a movie or perhaps playing a game of Dota 2 keep the friendship growing.
Implementation
This project was created with high technical analysis and making sure the overall infrastructure would be optimal if pushed into large scale production. We followed the design protocol first by identifying the problem, user groups, and creating mockups before starting development work. In terms of the technical stack, we used python as the backend language: mainly using the flask framework. For the frontend, we used jinja to dynamically render the pages with HTML, CSS, and Javascript for styling, and page content.
Challenges
A lot of research was done to ensure our UI promotes social activity and engages users so they can easily reach their goal of 60 hours to become friends. However, designing a UI to do that proved to be challenging.
What's next for 60hours
This interface can even be modified to be more elderly-friendly, which can be beneficial in connecting seniors living alone. We have yet to implement the messaging functionality, which is further to be developed in the coming release.
VIDEO DEMO HAS SOUND
https://youtu.be/l6LY1GNxjF0
Built With
css3
figma
flask
gcp
hmtl
javascript
jinja
jquery | 60hours | Create deeper connections | ['Hussein Nagri', 'Charles Liu', 'Rocky Sun', 'Anne Jing'] | [] | ['css3', 'figma', 'flask', 'gcp', 'hmtl', 'javascript', 'jinja', 'jquery'] | 23 |
9,892 | https://devpost.com/software/project-pajzix | Original idea of interface
A group of hackers known as Team Bob (Ryan, Vishnu, Matthew) created this app to help people socialize better. It was inspired by the fact that anxiety affects up to 40 % of children and teens with autism so we wanted to find a way to help them and any others in similar situations.
The app has a user friendly interface that is very visual based with audio elements to help enhance the user experience. When someone uses it, it gives shows every day social situations or useful common knowledge. Then, the user can watch videos and interact with it after watching the videos by taking the builtin quizzes. Since some of the users may have difficulty reading, we planned to implement a text to speech feature.
This was built using HTML using Github as a platform for collaboration. We decided to use HTML as it would be an efficient way to get the bare bones of the idea down. This would later be rewritten as a desktop and mobile application.
The biggest challenge we ran into would be the time limit. We had a lot to learn before our project could become feasbile so we ended up running out of time.
My proudest accomplishment during this Hackathon was being able to learn a lot of things.
Leading into the next prompt, the things I learned include how to use tech resources like Github and a ton of new software from the sponsors.
The next steps for our Social Skills App would be to refine it by making it look good and by adding more content. We would also rewrite it as an application as opposed to a website. We would also add a randomizer feature to provide access to a variety of content and keep updating it with new content.
Built With
github
html
Try it out
github.com | Social Skills App | Our app is designed to help people with learning disabilities learn how they can socialize more effectively and have fun while doing so. | ['Matthew Wu'] | [] | ['github', 'html'] | 24 |
9,892 | https://devpost.com/software/work-better-online | Inspiration
I was inspired by Miro and Zoom by the increase in usage by students and remote teams since covid-19.
Post Covid-19, more people will start using these products. I felt that it would be better to have productivity tools and video calls in the same system.
After I read a thread on Reddit about Monday.com and their refusal to allow a customer to delete his account and data, I decided to use Blockstack because they allow the user to have control of their data.
What it does
Digital sticky notes to keep track of things and improve productivity.
Video chat
How I built it
Blockstack-auth
Blockstack-Gaia to store notes in decentralized storage
Agora sdk to handle video chat
Challenges I ran into
Had some issues with DNS for my domain.
https://workbetter.online
Accomplishments that I'm proud of
Completing the project.
What I learned
I am familiar with Blockstack. Haven't used it in a while and had to learn the new quirks.
I really need to improve my CSS skills
What's next for Work Better, Online
A kanban board
More collaboration by allowing users to give access to other users to edit a note and kanban board using Blockstack radiks
Built With
blockstack
javascript
node.js
webrtc
Try it out
workbetter.online | Work Better, Online | Post Covid-19, Improve productivity and work better online | ['Lyle D'] | [] | ['blockstack', 'javascript', 'node.js', 'webrtc'] | 25 |
9,892 | https://devpost.com/software/divoc-e0fywm | Flow chart depicting the working of the whole system.
Homepage of the application
Teacher Login
Student Login
Teacher Dashboard
Student Dashboard
Canvas as a blackboard
Asking question in middle of a lecture
Tab Change alert to gain students attention to the lecture
Inspiration
There is an old saying,
The Show Must Go On
, which kept me thinking and finding out a way to connect teachers and students virtually and allow teachers to take lectures from home and to develop a completely open source and free platform different from the other major paid platforms.
What it does
This website is completely an open source and free tool to use
This website whose link is provided below, allows a teacher to share his / her live screen and audio to all the students connected to meeting by the Meeting ID and Password shared by the teacher.
Also this website has a feature of Canvas, which can be used as a blackboard by the teachers.
Including that, this website also contains a doubtbox where students can type in their doubts or answer to teachers questions while the lecture is going on.
Again this website also has a feature of tab counting, in which, tab change count of every student is shown to the teacher. This will ensure that every student is paying attention to the lecture.
Also, teacher can ask questions in between the lecture, similar to how teacher asks questions in a classroom.
How I built it
1) The main component in building this is the open source tool called WebRTC i.e. Web Real Time Communication. This technology allows screen, webcam and audio sharing between browsers.
2) Secondly Vuetify a very new and modern framework was used for the front end design.
3) Last but not the least NodeJS was used at the backend to write the API's which connect and interact with the MongoDB database.
Challenges I ran into
The hardest part of building this website was to find a
open source
tool to achieve screen and audio sharing. This is because Covid crisis has affected most of the countries economy due to lockdown. Hence, it is of utmost important that schools and colleges do not need to pay for conducting lectures.
Accomplishments that I'm proud of
I am basically proud of developing the complete project from scratch and the thing that anyone who has the will to connect to students and teach them can use it freely.
What I learned
I learned a new technology called WebRTC which I believe that is going to help me more than I expect in future.
What's next for Divoc
Integrating an exam module and allowing teachers to take exams from home.
Built With
mongodb
node.js
vue
webrtc
Try it out
divoc.herokuapp.com | Divoc | DIVOC - An Antidote For - COVID | ['Sanket Kankarej'] | [] | ['mongodb', 'node.js', 'vue', 'webrtc'] | 26 |
9,892 | https://devpost.com/software/rsa-encryption-and-decryption-bot-f90iws | I created this project with a focus on cryptography and understanding an algorithm that deals with a common cipher. I created this bot to simulate the RSA cipher, which uses the power of modular congruence to create secure transmission of a message. Two prime numbers are kept as private keys, and keys of the power of k, the result e from congruence, and the product (p*q) are public keys. These keys are encoded and return at the end of the encoding sequence. The keys e, k, and the private keys p and q are then solved for modular congruence to reveal the message s. This is secure because the prime number keys p and q make a very large product, and an outside client trying to find possible values would take almost years to find combinations of p and q from the product alone. This is why the cipher is effective. I used this bot to fully understand RSA encryption. I used Java through Eclipse to create the bot, in a text-based fashion through the console. I had multiple challenges in creating test cases and understanding how to debug, considering how many references to methods there are. I managed to visualize all the test cases by writing down all the data and methods and managed to debug effectively this way.
-video demo in google drive
Built With
eclipse
java
Try it out
github.com
drive.google.com | RSA Encryption and Decryption Bot | Algorithm that uses RSA encryption techniques to encode messages | ['Shreyan Das'] | [] | ['eclipse', 'java'] | 27 |
9,892 | https://devpost.com/software/support-notes-for-seniors-v2 | home
how it works
send
Track: Health
Inspiration
Two years ago, I was in quarantine for a month due to a disease. During that time, I faced severe loneliness & anxiety, so get-well-soon cards from friends meant the world to me because it showed that I wasn't alone. Knowing that thousands of
senior citizens are now experiencing social isolation
, putting them at risk of many
chronic health conditions
, inspired me to create this project.
What it does
You submit a letter through the site.
The letters then get printed out & sent to meal service centers for the elderly.
The letters are distributed into the food baskets to reach senior citizens.
Proof of Concept
Experience
: I started
Notes for Support
, a website with a very similar premise but targeting an entirely different group (COVID-19 patients & healthcare workers). So far,
I've printed & sent 2,200+ letters across 30 hospitals
in the US.
Connection
: A close family member is a volunteer at one of the senior meal service centers in CA & have confirmed that a program like this would be much welcomed.
Research
According to a fifty year study conducted by Harvard University, human connection is the single most important component of happiness. That's why the concept of sending physical, individual notes is so powerful.
How I built it
I first built a digital prototype out on PowerPoint. I then built the site with node.js & some other programming languages. I've already had experience using this framework so it wasn't a huge challenge, but thinking about the general format was quite difficult.
Impact
There is something so powerful in receiving a personal, physical letter -- it reminds you that you're not alone. This is something that I've experienced myself & through my other project (
Notes for Support
), had thousands of patients & healthcare workers experience as well. Loneliness can kill while a personal letter can save a life.
Challenges, Accomplishments & Lessons
The biggest challenge was definitely the time constraint -- I found out about this hackathon late & would have loved to add more features. However, I'm proud of pulling an all-nighter to finish this project. I learned to just go for it instead of contemplating if you have enough time.
Budget
Raised $1,500 USD for Notes for Support, a partner program.
What's Next + Value after the Crisis
Getting a domain & putting up the site.
Printing & sending the notes received to senior meal service centers!
Even before the pandemic,
senior citizens were always at risk of health issues associated with loneliness
. It is just that shelter-in-place has exacerbated the issue. After the crisis, this program will still be continued to support the elderly population.
Design: lachlanjc.
Built With
html5
javascript
node.js
Try it out
notesforseniors.now.sh | Support Notes for Seniors [V2] | You send a letter to a senior. We'll print & send to meal service centers for distribution. | ['gina c'] | [] | ['html5', 'javascript', 'node.js'] | 28 |
9,892 | https://devpost.com/software/touni | Website homepage for exploring university campuses
Immersive streetview navigation with helpful, guiding comments
Switch between streetview and a map to get accustomed to your surroundings
An authentic sense of community through student-placed markers
Inspiration
In our last year of high school, COVID-19 has already taken away our prom, our graduation, and now, it is threatening our transition into university. With no way to attend freshman orientations or visit the campus in person, we decided to create TOUni. If students can’t visit the school of their dreams in-person, then we’ll bring it to them. We’ll give them the full immersive experience, complete with authentic student input - everything from the best parking spots to the worst fast-food restaurants in the area. Despite universities’ promise to deliver webinars and Youtube 360* videos, what we really need is a platform to build a student community and experience the campus for ourselves.
What it does
TOUni is a web-based application that allows students to virtually tour Canadian universities and experience student life when it is physically not possible. In this way, we’ll bring you TO Uni, and university TO U. After finding your university from our homepage, you’ll see the campus map decorated with multi-coloured pins. From residences to club meetings, these markers are contributed and reviewed by students to guide you throughout your tour. With both street and satellite views, you can easily find all your classes or just a quiet library study spot. You can read about experiences from all perspectives and chat with current and prospective students, alumni and professors through a comment panel. Most importantly, you can mark locations and post comments - after all, student interaction is what it’s all about.
How we built it
Within the past 24 hours, our team coded an easy-to-navigate website using front-end technologies including HTML, CSS and Javascript. On the back end, we took full advantage of the Google Cloud Platform and the powerful tools it offers. Using the Google Maps API, we displayed the campus maps of major Canadian universities, with markers overlayed to point out the most important “attractions”. For a truly immersive experience, we also incorporated Google Street View in combination with a self-designed side panel of comments. All this data (and more) was stored using the Firebase Realtime Database.
Through the power of teamwork, love and motivation we were able to assemble all of our and create this wonderful website for all students throughout the country.
Challenges we ran into
One challenge we faced regarding our project was the comment panel. We had to create buttons that would increase a counter, had drop-down menus, or had a pop-up interface. We were unfamiliar with all of these concepts and had to turn towards external research, such as online lessons. Because of our solid fundamentals in HTML, CSS, and Javascript, we were quickly able to learn how to code these buttons and proceeded with our project.
Having never used Firebase for a web project before, it took several Youtube tutorials and rereading the documentation to get the hang of it. Luckily, it was intuitive to use, and our progress soared as we eventually got the hang of it.
Based on diverse skill sets on our team, we planned to delegate tasks accordingly. It was an overall successful approach, but we learned it was often troublesome when it came to putting the parts back together. When integrating the UI with the Javascript code connected to Firebase, it was a tedious process of debugging and searching up errors on StackOverflow.
Accomplishments that we're proud of
As this is our first hackathon, we’re extremely proud of the progress we made within this short period of time.
Some features that we’re proud of are:
Home Screen
Here you can search up a campus of any Canadian university. After selecting the university of your choice, you are brought to a map of the campus. The final result of the home screen yielded the same aesthetic we were hoping for, along with a custom made logo that pairs nicely with the rest of the design of the home screen.
Campus Map
A full view of the selected campus is provided so the user can get a general idea of the size and also see the highlights of activities around it. It was really difficult to scale the maps properly and fit it right beside the comment section. However, through perseverance, we were able to obtain our desired result of having the university map right beside the comment section.
Markers
By clicking on a marker, you are able to see everyone’s general review of it, fun activities that run there and small quirks of the building. Markers are colour coded in order to filter between other markers. The markers were custom made, and help visually enhance the final prototype. Although this was not too difficult to do, it did take us quite a bit of time to achieve.
Comment Section
Every comment can be upvoted or downvoted. The total amount of votes determines its popularity and reliability. This ensures that users can read the most accurate and relatable experiences. It was difficult implementing the arrows to get a total number of votes. We were able to solve the problem collaboratively!
Adding Markers
In case there are special fun locations students want to point out, they are free to add any additional markers pinpointing a specific location. It was quite difficult to insert these markers as different errors would occur each time we refreshed the page. Solving this problem was quite the accomplishment as it was extremely mind and time-consuming.
What we learned
We learned that teamwork and collaboration are the most powerful tools in accomplishing anything. Without any one of our teammates, we would not have been able to accomplish what we have within these few hours.
These skills were the driving force behind our accomplishments. We also learned how to manage our time more effectively and efficiently due to the short time restraint. When we fell behind we learned to continue motivating each other and persevere through the challenges.
Because of the time restraint, there was no possibility that we could have finished every idea we had for this project. Thus, we learned the importance of establishing priorities, as these would be aspects of our project that will be completed, and these aspects will highlight the overall function and importance of our project.
In addition, through these challenges, as previously mentioned, we were able to deepen our understanding of HTML, CSS, and Javascript. We also learned the basics of Firebase and Google Maps API. Both of which we had never used prior to this hackathon.
What's next for TOUni
We would like to implement some further features including a rating and comment systems for specific university programs and restaurants near the university, as well as creating a notification system that keeps track of any upcoming events and the locations that it will take place. Enhancing the UI/UX design on the website would allow for a more immersive and authentic experience. We would also love to expand the number of universities available on our website and hopefully become a worldwide site. It would also be a wonderful addition to include user sign in accounts for when they comment or give ratings to personalize the experience.
Built With
css
firebase
google-maps
html
javascript
Try it out
github.com | TOUni | Have you ever felt like everything was being taken away from you? We, as high school grads of 2020 have had prom, graduation, friends and even now, a fresh start at university taken away from us. | ['Kailey Chen', 'Krista Koshy', 'Richard Xu', 'Grace Gao'] | [] | ['css', 'firebase', 'google-maps', 'html', 'javascript'] | 29 |
9,892 | https://devpost.com/software/mindfulme | The hassle-free mood tracker
Inspiration
To promote good mental health especially during these trying times of the COVID-19 pandemic.
What it does
MindfulMe tracks your moods across different websites, suggesting which ones are beneficial or are detrimental to your mental health. Knowing is the first step to action.
How we built it
Using Python Flask as the webserver backend, we used the OpenCV library to access the face camera and take snapshots of the user. These snapshots were then analyzed using Google Cloud's Vision API that suggests the likelihood of certain moods like joy, sadness, surprise, and anger. This is then plotted through the data analysis libraries NumPy and Matplotlib. This is then again shown using Python Flask for the user to see.
Challenges we ran into
We have never used OpenCV nor any Google Cloud product before - figuring them out was a challenge. We were able to learn how to implement these and to integrate them all into one big project.
Accomplishments that we're proud of
Implementing the Google Cloud Vision API, using Python Flask and Matplotlib all in one project. Getting it to actually work!
What we learned
How to use the Google Cloud Vision API, familiarize ourselves with the use of the Google Cloud SDK, and the different deployment services available.
What's next for MindfulMe
To actually deploy the website for all to use. To make it into a chrome browser extension instead of a website. We would also like to create new features like having a login system so that people can save their moods and websites. Also to use a web driver like Selenium to discover the web traffic so that the user doesn't need to manually put in the website that they are visiting.
Built With
flask
google-cloud
google-cloud-vision
matplotlib
numpy
opencv
python
Try it out
github.com | MindfulMe | A hassle-free mood tracking web application, using Google Cloud's ML technologies | ['Eric Huang', 'Waris Z', 'Yash Matharu'] | [] | ['flask', 'google-cloud', 'google-cloud-vision', 'matplotlib', 'numpy', 'opencv', 'python'] | 30 |
9,892 | https://devpost.com/software/icook | iCook
Inspiration
We have all been in that situation where we look at the food we have in our home and have no clue what meal we can make. So we came up with iCook, an app that help you solve this problem. During the Covid-19 pandemic, it is nessacery for us to self-isolate to flatten the curve. This mean essential trips to get grocery should also be minimized. As a result, many of us have had to get more creative with what we have at home.
What it does
iCook lets you add and remove from a persional ingredients list. A user can then use that ingredient list to look for recipes, or simply look for a recipe by name. Recipes can also be saved for easy access in the future.
How we built it
We use Figma to mock-up an app design, Dart and Flutter to implement the app, and Firebase to implement authentication.
Challenges we ran into
We both have little to no previous experience with Dart/Flutter and Firebase. We've also ran into a number of error at the beginning of the project.
Accomplishments that we're proud of
Successfully implement basic features of the app.
What we learned
How do use Firebase Authentication
How to use some widgets in Flutter such as BottomNavigationBar
What's next for iCook
Users can upload recipes
Categorize ingredients
Keep track of amount for each ingredient
Remove/change ingredients from list
Expiration date or when they bought it and the app will reminds user when their ingredients go back
Built With
dart
firebase
flutter
intellij-idea
kotlin
swift
visual-studio
Try it out
github.com | iCook | We have all been in that situation where we look at the food we have in our home and have no clue what meal we can make. So we came up with iCook, an app that help you solve this problem. | ['Trang Trần', 'Dayeong-git'] | [] | ['dart', 'firebase', 'flutter', 'intellij-idea', 'kotlin', 'swift', 'visual-studio'] | 31 |
9,892 | https://devpost.com/software/mycloset-space | the login/signup page when you first open the app
to sign up, fill in the form with your personal information
to log in, enter your email or username and password
Inspiration
We were inspired by the increased amount of online shopping due to the social distancing constraints. We think that in a post-quarantine world, people will be motivated to spend more on clothes to refresh their closet. Given that textile waste is already such a huge pollution problem, we wanted to encourage people to catalogue and remix their existing closet items before purchasing new ones. It also suggests local clothing drives / donation depots to redirect clothes to people in need and keep the clothes out of landfills.
What it does
Mycloset.space is a mobile app that catalogues each item in a given closet and allows the user to tag it with attributes (ex. summer, casual, colour). Once catalogued, it allows users to sort their closet by tags, ocassion, category (ex. tops, bottom, shoes) and colour. User can even combine items to create and save outfit ideas.
How we built it
It's built using the MERN stack, the backend is built on Express.js and mongoDB and the front-end is built using React.js.
Challenges we ran into
The most challenging aspect of this project was building a frontend designed for mobile use.
Accomplishments that we're proud of
We're proud of implementing and testing a working back-end for this project. Users can effectively store information about their closet items and outfit ideas.
What we learned
We learned that we should place more emphasis on the design and prototyping aspects of the front-end to reduce the amount of time spent making decisions about small but important details.
What's next for mycloset.space
To further help with the environmental cost of fast fashion and textile waste, we think it would be a good idea if mycloset.space helped users locate nearby clothing donation centres and encouraged them to donate their gently used clothing items.
Built With
express.js
javascript
mongodb
node.js
react
Try it out
mycloset.space | mycloset.space | catalogue your closet to reduce online shopping and save the planet | ["Rachel D'souza", 'Kalindu De Costa'] | [] | ['express.js', 'javascript', 'mongodb', 'node.js', 'react'] | 32 |
9,892 | https://devpost.com/software/canvas-calendar-transfer | Inspiration
More students are using online learning platforms to do their work. A popular platform is Canvas. It is often difficult to work with Canvas, as it has its own personal calendar which cannot be exported. This is the same for other applications. With teachers using different applications, it is often difficult for students to keep all the assignments together.
What it does
This program is meant to transfer the calendar activities from Canvas and other learning platforms to a personal calendar (currently Google Calendars), allowing for more convenience for the student user. As of now, the program supports Canvas and Google Classroom.
How I built it and What I learned
I learnt how to UiPath Studio. Through a series of clicks, typing, and OCR, the program transfers the information from Canvas to a personal calendar. I learned a lot about UiPath and WorkFlow. I learnt how use Computer Vision and OCR. I also learned how to create variables
Challenges I ran into
It was difficult to set up UiPath. Once there, I had to learn about the different activities. Also, working with times were difficult and organising my workflow.
What's next for Canvas Calendar Transfer
I hope to make it more robust and less glitchy. It's also very specified to my machine right now; I want to make it more broad and general. Also, I'd like to make it export in bulk and make it compatible with more programs. In addition, I would like to make a nice UI, which I was unable to do due to time restraints.
Built With
rpa
uipath
Try it out
github.com | Canvas Calendar Transfer | Retrieves Assignments from Different Platforms and Adds it to a Google Calendar | ['Shreya C'] | [] | ['rpa', 'uipath'] | 33 |
9,892 | https://devpost.com/software/plantaid-7opq9x | Inspiration
When we came into the hackathon we didn’t have a clear idea about how we could improve, but after researching environmental issues, we found a huge problem that needed fixing. In the farming world, annual losses of 30 to 50 percent of crops are not uncommon. Why is this number so high? The main answer to this shocking statistic is diseases. Plant based viruses can decimate whole fields if given the time to spread enough, so we made PlantAId.
Farms around the world provide us with 70% of all food, so clearly this issue is of utmost concern This app has the potential to be revolutionary for farmers who will be able to find viruses in the plants before it spreads, cutting that annual loss of crops due to diseases down by large margins. Whether the user is a farmer, who depends on these crops to make a living, the consumers, some of whom are starving from this lack of food, whether the disease is on the leaves, stems, or with the buds of the plant, PlantAId is paving the path to a healthier future, one plant at a time.
What it does
PlantAId has three main functions:
Our machine learning model is able to predict what kinds of diseases different crops have or if they’re healthy, and users will then be sent to a screen detailing different symptoms and treatments for the specific disease the crop may have. If the fruit is healthy, they will be taken to a screen detailing how to maintain the prosperity of the plant.
Our third element comes in via a disaster bot, where farmers are able to type in concerns about crops and receive answers from said disaster bot. We believe including this information on our app will save farmers precious time and ways to solve problems such as if their crops are being flooded or are experiencing a drought.
How I built it
The main component of our application is the CoreML based machine learning model. CoreML and CreateML are IOS based machine learning libraries which allowed us to build the machine learning functionalities. We looked for datasets online to help train and test our model in Apple’s CreateML interface, which allows you to easily label and train a machine learning model. After training and testing, we were able to use Apple’s Vision Framework to easily process user images, process them with our model and then output a result. We used AVCam, a camera app framework to create the camera interface within our app.
Next, we used Keras and Python to train a Natural Language Processing Chatbot. With a few lines of code, our ChatBot was able to analyze and process user questions and intents and provide sufficient responses. We did research on common agricultural disasters and added solutions to help farmers in whatever situation they are in.
Finally, we built a database using SweeterSift and SnapKit to build a user-friendly UI which would be easy to navigate. Our database takes in and stores data from user input and can store images and text for easy use and display. After our user inputs their data, our crop tracker simply holds and projects whatever profile our user added for their plant/crop.
Challenges I ran into
A large obstacle we ran into was trying to make the chat bot system work. We had plans previously to make the chatbot work for multiple scenarios, but eventually settled for the disasterbot function and were able to make the system work for the specific category. We learnt that if we asked our ChatBot to perform too many functions, it would often get confused and not understand what our user was asking. We eventually settled by narrowing to DisasterBot, and this worked far better for user input.
Another challenge was implementing the machine learning model, as analyzing plants required a lot of images and tons of data, which was hard to find and then took patience to train. Originally, our model did not work as needed and debugging and pinpointing the issues was a tedious task. Eventually, after re-training our model started working as intended.
Accomplishments that I'm proud of
We are proud of our chatbot, as we had never dealt with Natural Language Processing in swift, and building a chatbot was a new and unique experience which we enjoyed. Working with python and Keras was also a learning experience that could be useful in the future, and was good exposure to the extents of NLP.
We are also proud of our machine learning model, as re-training and gathering data to make an accurate model was both rewarding and troublesome. This was our 3rd or 4th time ever working with CoreML, so we were learning something new while also making something which can have a huge impact on our food production and farming.
What I learned
We learnt a ton about NLP and how it works. From understanding intents and entities to going about training our model in Python, building a ChatBot was far harder than I anticipated. We also learnt about the limits of NLP; when a bot is flooded with commands and different ideas, it has a hard time processing information and training, which is why we have to give narrow and straight-forward questions to allow our bot to perform adequately.
We also learnt a lot about UI frameworks such as SnapKit, which we had little experience working with prior. We had previously relied solely on UIKit, but using different frameworks was educational and will be helpful for any future apps. Building a clean UI seems like a daunting task, but simplicity and certain design concepts (Proper White Spacing, Color Blocking) allowed us to build a beautiful but functional user interface.
What's next for plantAId
In the future we will look at implementing a better centralized database system so farmers can keep track of thousands of plants with easier scans. On top of this, adding more features to the chatbot will allow farmers an incredible amount of information at the tip of their fingers and would be a good extension to this app.
A huge addition to PlantAId would of course be adding more content, such as more crops that can be analyzed along with diseases that the crops could be carrying. With the clean format we have created, adding new content such as new plants and diseases will be a much simpler task.
Disclaimer: Our app file size was larger than 35mb (DevPost limit). If you would like to access the App, please use our Github Repo instead.
Built With
computer-vision
coreml
keras
machine-learning
natural-language-processing
python
swift
uikit
Try it out
github.com | plantAId | plantAId is a machine learning app which allows farmers to scan their crops for diseases, and preventing devastation of crops. | ['Krish Malik', 'Advait Jagannathan', 'Anish Kataria'] | [] | ['computer-vision', 'coreml', 'keras', 'machine-learning', 'natural-language-processing', 'python', 'swift', 'uikit'] | 34 |
9,892 | https://devpost.com/software/virtual-health-checkup-modelling-of-coronavirus-technoband | Technoband
Software Modelling of Future conditions of CoronaVirus
Inspiration
Daily surge in cases, health conditions of citizens pushed me to work hard
What it does
It predicts the curve of future conditions of any country w.r.t. data set available
How I built it
I built it through software, that have been mentioned.
Challenges I ran into
Lots of challenges, but overcomes and got the results as expected
Accomplishments that I'm proud of
That I did something, which satisfies and help at least one citizen, then the chain will follow up.
What I learned
I learned new softwares, skills
What's next for Virtual Health Checkup|Modelling of CoronaVirus|Technoband
If got success, wanna make it open source.
Built With
arduino
c++
embedded
matlab
python
webex | Virtual Health Checkup|Modelling of CoronaVirus|Technoband | Future prediction with Virtual checkup online and Smart electronic band | ['Shreyansh Pagaria', 'Maor Mashiaxch'] | [] | ['arduino', 'c++', 'embedded', 'matlab', 'python', 'webex'] | 35 |
9,892 | https://devpost.com/software/solocoin | Home Page
Social-distancing timer and Challenges
Detailed Rewards
Rewards and Coupons
Detailed Leaderboards
Leaderboards, Milestones, Badges
The Inspiration
COVID-19 has severely affected the livelihoods of the people around the globe. With people getting infected by COVID each passing day, Consumers have learned to stay home, preserve the money they have, and consume less. However, this affects the economy. Similarly, local businesses have experienced unprecedented losses. For those that have survived this period the possibilities for re-opening, recovery, and growth are limited and possibly bleak. SMBs don't have a sustainable solution through which they can grow their businesses again and recover their losses. Traditional ad-tech channels are broken and without significant investment, any business can't get RoI. But, with inbuilt game mechanics, we can motivate people to purchase and help SMBs advertise their product without any upfront investment. So, the perfect way to help both sides of the community SMBs and making it fun for people suffering to help the SMBs is gamification.
I’m a co-founder of a Blockchain gaming company. I (Arbob) have a lot of experience in implementing game mechanics inside consumer apps. So, I thought, why not apply the same gamification techniques I implement in blockchain into a consumer app to encourage people to do a task based on their location, spend more and help SMBs in economic recovery. So I started to scout for members in hackathon channels and got an amazing team to build this idea.
What it does
SoloCoin is an app that rewards users in virtual coins based on their location. Currently, to engage in social-distancing, based on their location to their home. It's basically an app that rewards users according to their proximity/location. (using the tech of GPS, Geofencing, and Accelerometer - to track whether the phone is put on idle or not - awards will be rewarded only when the user is using the phone). If their smartphone is within a certain radius (~20m) to a reward hotspot (Geofencing reward location), then the app will reward them with virtual coins that they can later redeem for "Partner Coupons". These partners can be SMBs, Local businesses, and any online B2C businesses from E-commerce, Entertainment, Lifestyle, Health, etc. Our app rewards, nudges, and drives beneficial consumer behavior. This will help post-COVID to accelerate economic recovery in local communities. They can also compete with nearby players for achievements and badges which they can later share with their friends.
The global ads market is $600B+ with digital advertising accounting for $220B+. But there is a niche in hyperlocal digital-ads where specifically no-one has targeted their solution. Just in India, $650B is the size of traditional retail shops. Simple and Engaging Advertising needs of such a big segment of the market will create an ad-tech boom in the hyperlocal sector in India. We can be at the forefront of this market in the next 5-7 years.
How we built it?
When Arbob had the idea, he started building it on Python's Beeware toolkit which ports python code to a native mobile app. Then, he started to scout for members across hackathons. Since the idea was innovative and exciting, many amazing people joined his team. then the team decided to make it on native android and iOS directly for better usability and support. We have a group of open-source collaborators from around the world including startup founders & CXOs, people from IITs, BITS, Stanford, Microsoft, Uber, Github, Neuro-Researchers and more among our community, with expertise in Frontend (android-studio, Java, Kotlin), Backend (rails+postgresql | RDS) mobile development, Marketing, Product and Design (Adobe xd), etc. AWS is the cloud service provider with authentication from Firebase and Maps from google. The product is built 100% remotely.
Challenges we ran into
The first challenge was finding good team members with relevant expertise. But, we got through with it thanks to our hard work and to the volunteers joining because of the innovative nature of the product.
Management of tasks. To tackle this issue, we created a Trello and GitHub task board for better collaboration.
*
One thing I've noticed while building our product is the founder's vision for the product is very important. When I first pitched the idea of SoloCoin, I was alone. But the idea was innovative and has never been done before. The vision I put to gamify social-distancing resonated with people and that helped us in getting amazing people with great skills from all over the world to voluntarily work on my idea without any financial incentive. People were and still are excited every day they wake up to build and scale the product. And, that's how from an idea it became an MVP and then a working product. *
Accomplishments that we're proud of
The clarity in our concept.
Innovative approach towards social-cause using gamification.
1000+ sign-ups for the app launch.
5000+ user visits since the website launch.
The prototype was done in 3 days.
Beta Launched in Play Store.
Positive feedback and support from across the community, both tech and non-tech. Influencers asking to promote our app for FREE. Many top-level government officials agreed to promote our product in their network.
Partnerships for reward coupons.
Partnerships with multiple influencers.
An amazing team of 20+ open-source collaborators. 100% remote.
Tackling a greater cause to eradicate COVID-19 from the face of the earth through gamified social-distancing.
Won India’s largest COVID Hackathon - CODE19.
Won World's largest COVID Hackathon - EUvsVirus.
Incubated in European Innovation Council's business accelerator and Central European University's Innovation Lab.
What we learned
Clear documentation from both product and development perspective for faster user onboarding.
The idea of making a difference motivates a person more than money.
Distribute department leads early on to avoid clashes among members. We were lucky that we did it early on.
Single design philosophy to avoid misalignment of colors, content that is being pushed on the internet for promotion and visibility.
Don't let negative people come anywhere near your extremely positive and passionate team. Take care of your team.
Regular motivation and clear communication are very important when managing a remote team.
Just like you can’t expect 9 women to give birth to a baby in 1 month, you shouldn’t expect 10 developers to build a product of a global scale in a day.
Ideas are the most valuable asset to any startup. That's why we have a dedicated #ideas channel our discord for people to post ideas that can help improve our product. Till now we have received 20+ ideas since the project's inception.
Planned Revenue Model
Brands pay us for promoting their deals via Rewards. Sponsors will pay us to get their rewards listed on our app. Like if a new e-commerce startup wants better visibility of their product, they can pay us some fee and get their brand coupon listed on our app, which users can redeem for coins and purchase stuff from their website.
Sponsored badges and goals. For e.g.When someone redeems the coins for Amazon Coupons they’ll get an “Amazon Badge of Honor” which they can share in their social media.
Sponsored Daily/Weekly/Monthly Rewards via Challenges
Location-based targeted ads for grocery, medicine, and other necessities. Later we can open it for a broader audience and sponsors.
Subscription model for faster coin generation.
Impact of SoloCoin
SoloCoin will have a massive impact on the reduction of COVID-19 transmission and on society as a whole. Some of them are:
Impact on the society - It is a “simple way” for citizens to do their part, practices social distancing, and get real economic rewards and esteem awards to show they stood up to the challenge! They can be proud of themselves.
Impact on Public Health Officials: Public Health Agencies can get access to anonymized data insights from our app to help form better messaging to inform/educate the public. ‘
Impact on Partners-Sponsors: Coins can be exchanged for exciting "Partner coupons". These partners can be SMBs, Local businesses, and any online B2C businesses. Our app rewards, nudges, and drives beneficial consumer behavior. This will help post-COVID to accelerate economic recovery in local communities and help get their businesses on track.
Impact on People-driven Health and Wellness: having an all-access platform for behavioral change with people from all around the world will help support post-COVID measures, promoting healthier physical, mental, and social behaviors.
What's next for SoloCoin?
Making this a global app with partner support.
Rewarding for good habits like washing hands, timely self-isolation, Yoga, etc.
Determining efficient/less crowded routes for commuting and avoiding people.
Give users the possibility to chat with nearby quarantined people.
Map list of nearby available essential stores for groceries, medicines, etc.
Adding an anonymous user authentication system.
Give users the possibility to add a mask to their profile picture to tell people they are practicing social-distancing.
What after COVID ends?
We have identified many ideas on what we can do with our tech post-COVID. Some of them are:
Our app can be used for concerts/stores, basically to gather people. The more they stay the more they earn. That way sponsors will get better revenue as well.
Chat with friends, hang out, and earn rewards as you have a good time! Real-time location tracking automatically detects when you and friends are out and about, so you can passively earn points all day.
Use group messaging and location sharing to stay in touch with your friends at any time. Emergency contact features let you get in touch with your circle whenever you need a helping hand because friends watch out for each other!
At the current stage, the app is used as a Social-distancing app with "Home geo-fence". After COVID, we can increase the geo-fence to multiple locations like "rewarding concerts, malls, local stores, etc." Our app can be used for concerts/stores, basically to gather people. The more they stay the more they earn. That way sponsors will get better revenue as well. Our app rewards, nudges, and drives beneficial consumer behavior. This will help post-COVID to accelerate economic recovery in local communities. Now if you think about it we're venturing into not a consumer app space but rather "Ad-tech" space. Our app can now be at the forefront of "Hyperlocal based targeted ads", basically directly competing with Google's and Facebook's Pay Per Click.
Shopping is fun in real life. You can go with friends, treasure hunt for bargains, discover new products, better understand a brand’s vibe, ask store reps questions, and also touch and feel items so you have more confidence you’re going to love it. The shopping revolution we bring will COMBINE ecommerce and entertainment, where both are equal in importance. Toss in gamification and boom. We may see waves of new brands and more pricing transparency for everything... products and services, alike.
We can gamify people’s entire lives, everything they do, with the tech and 20+ sensors present in smartphones.
Our vision is for a healthier, happier, COVID-19-free world and we can't wait to launch this app in the global market and help make the world a better place.
You can also look at our
Product Roadmap
for the present and the future to get an idea of where we are headed.
App Demo Video can be found here
Built With
amazon-web-services
android-studio
firebase
geo-fencing
google-cloud
google-maps
java
postgresql
ruby-on-rails
Try it out
xd.adobe.com
www.solocoin.app
github.com
drive.google.com
docs.google.com
play.google.com | SoloCoin | Get rewarded to shop locally with your friends. Helping SMBs and local businesses towards economic recovery and recoup their losses due to COVID. | ['Arbob Mehmood', 'Adesh Bhansali', 'Aditya Sonel', 'Aayush Patni', 'Vijay Daita', 'Narayani Modi'] | ['Challenge Winner'] | ['amazon-web-services', 'android-studio', 'firebase', 'geo-fencing', 'google-cloud', 'google-maps', 'java', 'postgresql', 'ruby-on-rails'] | 36 |
9,892 | https://devpost.com/software/asha-hgt9kb | NA
Built With
adobe-illustrator
firebase
flutter
google-web-speech-api
ibm-watson | Asha | Our application enables you to connect with a psychologist to seek mental support. We aim to remove the stigma behind mental health. "Mental illness" is real and it's okay to seek mental support. | ['Shashwat Agarwal'] | [] | ['adobe-illustrator', 'firebase', 'flutter', 'google-web-speech-api', 'ibm-watson'] | 37 |
9,892 | https://devpost.com/software/deep-learning-drone-delivery-system | Results of our CNN-LSTM
Accuracy after training our model on 25 epochs
MSE of our CNN-LSTM
How we preprocessed data for our model
Data preprocessing
Picture of Drone
Inspiration:
The COVID-19 pandemic has caused mass panic and is leaving everyone paranoid. In a time like this, simply leaving the house leads to a high risk of contracting a fatal disease. Survival at home is also not easy: buying groceries is frightening and online ordered necessities take ages to arrive. The current delivery system still requires a ton of human contact and is not 100% virus free. All of these issues are causing a ton of paranoia regarding how people are going to keep their necessity supply stable. We wanted to find a solution that garners both efficiency and safety. Because of this, drones came into the picture(especially since one of our group members already had a drone with a camera). Drone delivery is not only efficient and safe, but also eco friendly and can reduce traffic congestion. Although there are already existing drone delivery companies, current drone navigation systems are neither robust or adaptable due to their heavy dependence on external sensors such as depth or infrared. Because of this, we wanted to create a completely autonomous and robust drone delivery system with image navigation that can easily be used in the market without supervision. In a dire time like now, a project like this could be monumentally applied to bring social wellbeing on a grand scale.
What it does:
Our project contains two parts. The first part is a deep learning algorithm that allows the drone to navigate images taken with a camera which is a novel and robust navigation technique that has never been implemented before. The second portion is actually implementing this algorithm into a delivery system with firebase and a ios ecommerce application.
Using deep learning and computer vision, we were able to train a drone to navigate by itself in crowded city streets. Our model has extremely high accuracy and can safely detect and allow the drone to navigate around any obstacles in the drone’s surroundings. We were also able to create an app that compliments the drone. The drone is integrated into this app through firebase and is the medium in which deliveries are made. The app essentially serves as an ecommerce platform that allows companies to post their different products for sale; meanwhile, customers are able to purchase these products and the experience is similar to that of shopping in actual stores. In addition, the users of the app can track the drone’s gps location of their deliveries.
How I built it:
To implement autonomous flight and allow drones to deliver packages to people swiftly, we took a machine learning approach and created a set of novel math formulas and deep learning models that focused on imitating two key aspects of driving: speed and steering. For our steering model, we first used gaussian blurring, filtering, and kernel-based edge detection techniques to preprocess the images we obtain from the drone's built-in camera. We then coded a CNN-LSTM model to predict both the steering angle of the drone. The model uses a convolutional neural network as a dimensionality reduction algorithm to output a feature vector representative of the camera image, which is then fed into a long short-term memory model. The LSTM model learns time-sensitive data (i.e. video feed) to account for spatial and temporal changes, such as that of cars and walking pedestrians. Due to the nature of predicted angles (i.e. wraparound), our LSTM outputs sine and cosine values, which we use to derive our angle to steer. As for the speed model, since we cannot perform depth perception to find the exact distances obstacles are from our drone with only one camera, we used an object detection algorithm to draw bounding boxes around all possible obstacles in an image. Then, using our novel math formulas, we define a two-dimensional probability map to map each pixel from a bounding box to a probability of collision and use Fubini's theorem to integrate and sum over the boxes. The final output is the probability of collision, which we can robustly predict in a completely unsupervised fashion.
We built the app using an Xcode engine with the language swift. Much of our app is built off of creating a Table View, and customized cell with proper constraints to display an appropriate ordering of listings. A large part of our app was created with the Firebase Database and Storage, which acts as a remote server where we stored our data. The Firebase authentication also allowed us to enable customers and companies to create their own personal accounts. For order tracking in the app, we were able to transfer the drone’s location to the firebase and ultimately display it's coordinates on the app using a python script.
Challenges:
The major challenge we faced is runtime. After compiling and running all our models and scripts, we had a runtime of roughly 120 seconds. Obviously, a runtime this long would not allow our program to be applicable in real life. Before we used the MobileNet CNN in our speed model, we started off with another object detection CNN called YOLOv3. We sourced most of the runtime to YOLOv3’s image labeling method, which sacrificed runtime in order to increase the accuracy of predicting and labeling exactly what an object was. However, this level of accuracy was not needed for our project, for example crashing into a tree or a car results in the same thing: failure. YOLOv3 also required a non-maximal suppression algorithm which ran in O(n^3). After switching to MobileNet and performing many math optimizations in our speed and steering models, we were able to get the runtime down to 0.29 seconds as a lower bound and 1.03 as an upper bound. The average runtime was 0.66 seconds and the standard deviation was 0.18 based on 150 trials. This meant that we increased our efficiency by more than 160 times.
Accomplishments:
We are proud of creating a working, intelligent system to solve a huge problem the world is facing. Although the system definitely has its limitations, it has proven to be adaptable and relatively robust, which is a huge accomplishment given the limitations of our dataset and computational capabilities. We are also proud of our probability of collision model because we were able to create a relatively robust, adaptable model with no training data.
We were also proud how we were able to create an app that compliments the drone. We were able to create a user-friendly app that is practical, efficient and visually pleasing for both customers and companies. We were also extremely proud of the overall integration of our drone with firebase. It is amazing how we were able to completely connect our drone with a full functioning app and have a project that could as of now, instantly be implemented in the marketplace.
What I learned:
Doing this project was one of the most fun and knowledgeable experiences that we have ever done. Before starting, we did not have much experience with connecting hardware to software. We never imagined it to be that hard just to upload our program onto a drone, but despite all the failed attempts and challenges we faced, we were able to successfully do it. We learned and grasped the basics of integrating software with hardware, and also the difficulty behind it. In addition, through this project, we also gained a lot more experience working with CNN’s. We learnt how different preprocessing, normalization, and post processing methods affect the robustness and complexity of our model. We also learnt to care about time complexity, as it made a huge difference in our project.
Whats Next:
A self-flying drone is applicable in nearly an unlimited amount of applications. We propose to use our drones, in addition to autonomous delivery systems, for conservation, data gathering, natural disaster relief, and emergency medical assistance. For conservation, our drone could be implemented to gather data on animals by tracking them in their habitat without human interference. As for natural disaster relief, drones could scout and take risks that volunteers are unable to, due to debris and unstable infrastructure. We hope that our drone navigation program will be useful for many future applications.
We believe that there are still a few things that we can do to further improve upon our project. To further decrease runtime, we believe using GPU acceleration or a better computer will allow the program to run even faster. This then would allow the drone to fly faster, increasing its usefulness. In addition, training the model on a larger and more varied dataset would improve the drone’s flying and adaptability, making it applicable in more situations. With our current program, if you want the drone to work in another environment all you need to do is just find a dataset for that environment.
As for the app, other than polishing it and making a script that tells the drone to fly back, we think our delivery system is ready to go and can be given to companies for their usage with customers. Companies would have to purchase their own drones and upload our algorithm but other than that, the process is extremely easy and practical.
Built With
drone
firebase
keras
opencv
python
swift
tensorflow
xcode
Try it out
github.com | Autonomous Drone Delivery System | An autonomous drone delivery system to provide efficient and virus-free deliveries. | ['Allen Ye', 'Gavin Wong', 'Michael Peng'] | ['Best COVID-19 Hack', '2nd Place Hack'] | ['drone', 'firebase', 'keras', 'opencv', 'python', 'swift', 'tensorflow', 'xcode'] | 38 |
9,892 | https://devpost.com/software/remote-elderly-home-care-via-privacy-preserving-surveillance-tzp2ab | Privacy Preserving Person Face Detection at Home
Plug and Play AI Device Discovery
Person Detection Indoors
Home Page
Person Detection Outdoors
Inspiration
COVID19 isolated at home many of us, including our elderly parents and grandparents. Not being able to check on them regularly elevates the risks that they are exposed to such as falls, gas leaks, flooding, fire and others.
What it does
Ambianic.ai is an end-to-end Open Source Ambient Intelligence project that removes the stigma associated with surveillance systems by implementing privacy preserving algorithms in three critical layers:
Peer-to-Peer Remote access
Local device AI inference and training
Local data storage
Ambianic.ai observes a target environment and alerts users for events of interest. Data us only available to homeowners and their family. User data is never sent to any third party cloud servers.
Here is a blog post that goes into the reasons why we started this project:
https://blog.ambianic.ai/2020/02/05/pnp.html
And here is a technical deep dive article published in WebRTCHacks. It clarifies that it is absolutely possible to build a privacy preserving surveillance system, despite popular cloud vendors making us believe that all user data belongs safely on their cloud servers:
https://webrtchacks.com/private-home-surveillance-with-the-webrtc-datachannel/
How we built it
Ambianic.ai has 3 main components:
Ambianic.ai Edge: a Python application designed to run on an IoT Edge device such as a Raspberry Pi or a NUC. It attaches to video cameras and other sensors to gather input. It then runs inference pipelines using AI models that detect events of interest such as objects, people and other triggers.
Ambianic.ai UI: A Progressive Web App written in Javascript using Vue.js and other front end frameworks to deliver an intuitive timeline of events to the end user.
Ambianic.ai PnP: A plug-and-play framework that allows Ambianic UI and Ambianic Edge to discover each other seamlessly and communicate over secure peer-to-peer protocol using WebRTC APIs.
Challenges we ran into
Challenges include selecting high performance, high accuracy and low latency AI models to detect events of interest on resource constraint edge devices.
Another challenge is taking into account user local data to fine tune AI models. Pre-trained models can perform reasonably well, but they can be improved with privacy preserving federated learning on unique new local data.
Accomplishments that we're proud of
Ambianic.ai has been in public Beta for several weeks helping a number of users in their daily lives. Some users report success in keeping an eye on their elderly family members:
https://twitter.com/mchapman671/status/1230931722650423299
What we learned
Although the project sets ambitious goals, there seem to be sufficient enabling Open Source frameworks and community momentum to drive the ongoing success.
What's next for Remote Elderly Home Care via Privacy Preserving Surveillance
We need to work on these major areas:
Recruit volunteers in the home care community to test the system and provide feedback
Select more models to address open use cases such as fall detection, gas leaks and others
Work on implementing Federated Learning infrastructure to fine tune initial pre-trained models.
Built With
javascript
pwa
python
raspberry-pi
tensorflow
Try it out
docs.ambianic.ai | Remote Elderly Home Care via Privacy Preserving Surveillance | COVID19 isolated at home many of us, including our elderly family members. Left unattended they are prone to risks such as falls, gas leaks, flooding, fire and others. | ['Wong Piu Yee Christopher How Feng', 'Nasr Galal', 'hira khalid', 'Ivelin Ivanov', 'Björn Kristensson Alfsson', 'Srujana Munamala', 'Cassie Hudson', 'Samad Ahmed', 'Shashwat Prasad', 'vatsa srivastava', 'Priyam Gupta', 'Ali Hussain', 'Peter Gelderbloem', 'Abdullateef Almohamad', 'Alexis Leveratto', 'Chukwuemeka Ome', 'mahak bisht', 'jitendra kumar', 'Yusuf Suleiman', 'Jackline Mboi', 'P. Nair', 'Nurudeen Hamdana Kankia', 'King Adedoyin', 'Yana Vasileva', 'Kevin LOGNONÉ', 'Michael Quaynor', 'Meghan A. Lockard, Ph.D., P.M.P.', 'Lavanya Chellam', 'ayush kasera', 'henchik _', 'pattern project', 'Anshuman Sharma', 'Mahima Mallikarjuna', 'Yen Low', 'Amit Dandawate'] | [] | ['javascript', 'pwa', 'python', 'raspberry-pi', 'tensorflow'] | 39 |
9,892 | https://devpost.com/software/intellihearts | COPD machine learning
COPD machine learning
Atrial fibrillation machine learning
COPD machine learning
Respiratory diseases test screenshot
IntelliHearts App screenshot with cardiac analysis response
Cardiac anaysis with heartbeats classification
Inspiration
Starting from the WHO document about needs, requirements and challenge we decide to develop our solution starting from this need:
"Optimize current delivery platforms and develop alternative delivery
platforms for essential health services
: develop remote work solutions,
boost home hospitalization programmes
and rapidly scale up existing e-Health strategies"
- WHO -
Problems:
we observed 3 main problems:
detect patients at risk
screening the whole population
monitor them
People with chronic pulmonary diseases have a higher risk of being infected by covid-19 and have a more negative trend. It is crucial to make a quick diagnosis and monitor these patients.
What it does
With our team competence we create:
Real-time analysis & AI elaboration
of
heart, respiratory diseases
and vital parameters (Single-derivative-ekg, Oxygen saturation, Heart rate, Respiratory rate, Blood pressure).
For the vital parameters we did a long search about the best device for us, we don’t provide hardware
WE USE EXISTING HARDWARE
, reducing the timing for ideation, prototype and create the chain for production. The real improvement is our knowledge on Software and machine learning
MAKING ABLE EVERY COMPATIBLE DEVICE TO WORK WITH OUR SOFTWARE
and scalable up to million of users right in a day.
Pre-triage online, home remote monitoring
, thanks to a test that evaluates symptoms, vital data, risks factor and processes them through a score to classify patients based on their stable, unstable or critical condition
Sharing and visualization
of scores, parameters and AI elaboration with physician and Hospitals.
The anonymous database is very flexible and make use of modern no-sql technologies for securely storing personal data anonymously and share it with physicians and integrate it with hospital and all third parties. Our technology is really flexible and easy to manage letting us able in few days to satisfy every request comes from this kind of organization.
How we built it
Scientifically proven Machine Learning and AI algorithms
:
Here we attach the 2017 position paper.
Essentially the technology used is that presented in that paper. From a technical point of view, the deep learning neural network used in that work was replaced with the
newer ResNet-152 giving a leap of accuracy of 93% in F1-Weighted score for arrhythmias classification and 95% F1-Weighted in atrial fibrillations
(not yet described in that paper).
With IntelliHearts we mainly use sensors related to ppg and ECG, and we are able to detect:
Bradycardia, tachycardia, fusion beats and ventricular and supraventricular ectopic beats.
In the experiment that was conducted we first acquired the signal and cleaned it with statistical techniques (e.g. wavelet) then inter-patient separation was made. Subsequently every single beat is plotted and shown in 2d centered in the peak R.
Consequently we have n beats that can fall into the categories: normal, ectopic, supraventricular and fusion. There are not always the same number of beats within the same class, for this reason we refer to the F1 microscore average.
This is the basis of the paper. From this moment on, the classifier has been changed, as each plotted beat is analyzed by a classifier, which in the paper was a Convnet, but which we have changed and used a ResNet 152 layers. Reaching from 90% of the ConvNet proposed in the paper to
93% of the current ResNet
.
Respiratory diseases detection was conducted in the following way:
We used the data from Paper: Α Respiratory Sound Database for the Development of Automated Classification
Filter noise and remove background sounds
We used several segmentation techniques based on spectrograms of respiratory audio
We used a custom deep learning neural network to predict binary healthy/unhealthy patients using only audio recorded by smartphone
Developed a web service and web page/app to record and show the result.
We use medical algorithms
already used in the wards of infectious diseases or pre-surgery to investigate the general state of the patient, taking into account oxygen saturation, temperature, heart rate, respiratory rate, neurological condition. Thanks to the test we investigate the symptoms, the risk pathologies and we can give indications to the patient about what to do
Shared databases
that could be used by physician for evaluation, motorize and have history of the patient.
Challenges we ran into
VAE/GAN needs lots of data:
the majority of reviewed papers use 70-30 split without using the official test set provided by the challenge. Thus they don't use a inter-patient separation scheme, revealing wrong results.
Find valid datasets, identify the right devices to work with, competition and hackathon dismissed for covid-19.
What we have done during the weekend
During the weekend we have developed the respiratory disease detection with deep learning algorithm, we develop a demo web app and created a temporary web service for breath audio analysis.
We hit the 95% of accuracy to dectect respiratory diseases.
You can test it at
https://159.203.68.29:5000/
do it from your smartphone and follow the instruction on website.
Accomplishments that we're proud
The segmentation works!! For the classification at moment I have 95% accuracy in binary classification (healthy vs pathology) with interpatient separation scheme testing on the official test set provided originally from the paper.
Accomplishments that we're proud in past
Be part and take the graduation for Y-Combinator startup school 2020 (SUS2020) in March with this team;
Exceed the state of the art, percentage of accuracy for COPD and heartbeat classification;
Find the right compatible devices and start to building partnership with hardware supplies and Hospitals
What we learned
Probably managing Audio deep learning as a 1D time series, instead of transforming it in images (as done in the majority of the research reviewed) is effective, but requires a specialized network architecture.
That our team has the skills to turn the emergency around and is fun do hackatlon!
The solution’s impact to the crisis
Doctors will already have all the triage data in their database, this will help giving a quick glance to all their patients’ overall being and evaluate in no time whether to suggest them an in-hospital consultation.
Thanks to our efforts into looking for subjects at risk, we can prevent and propound the doctor who to mostly keep monitored.
We would have a much better healthcare system organization, a newer and quicker doctor-patient online relationship, and more focus on prevention to avoid the aggravation of clinical conditions that could have been treated immediately, beforehand.
A further positive impact falls on patients not affected by covid-19, but with other pathologies. With this type of organization, even non-covid patients will have the right care and attention from doctors.
The Mews score allows to evaluate vital parameters, discriminating stable, unstable or critical clinical conditions and is applicable to a wide spectrum of pathologies.
In conclusion, thanks to IntelliHearts even those suffering from other diseases can constantly monitor their parameters from home and share them with their doctor, allowing a more efficient management of all patients.
The necessities in order to continue the project
Imaging to the have high numbers of visitors on the tests of respiratory disease and Online triage we could need more and stronger servers.
So we need to get funded to pay servers, services, device’s certification and software medical certification, hire additional engineers and physicians. Support medical trials.
The value of our solution after the crisis
According to WHO estimates, 251 million people in the world have chronic obstructive pulmonary disease (COPD) and cardiovascular diseases (CVDs) are the number 1 cause of death globally, taking an estimated 17.9 million lives each year.
Thanks to IntelliHearts we will help patients with chronic obstructive pulmonary, cardiovascular, infectious and Metabolic diseases.
The project was born before the crisis for automatic diagnosis with a smartwatch and AI enabled app. Thus, our solution is ready for the post-crisis era, where people will pay more attention to their health and people understood the value of medical doctors, nurses and health operators, thus will reduce the accesses to family doctors (primary care physician) and hospitals by continue using new technologies (which they were forced to use during the lockdown) and managing everything remotely with remote health platforms.
We estimate that our technology can reduce by 40% hospital costs, playing an important role in prevention more than treat them and following the vision of current medicine.
MEDICAL DISCUSSION
Cardiac injury is a common condition among patients with COVID-19, and it is associated with a higher risk of in-hospital mortality.The findings presented in the research on 416 patients in Wuhan, Shi and colleagues [2], highlighted the need to consider cardiac complication in COVID-19 management. The patients with Covid-19 have respiratory distress and low blood oxygen levels, consequently they have high risk of ischemia or heart attack that compromises myocardial contractility and this situation can cause severe arrhythmia.
Respiratory diseases detection was conducted in the following way: We used the data from paper [1] Filter noise and remove background sounds We used several segmentation techniques based on spectrograms of respiratory audio Segmentation is necessary to understand when the first respiratory cycle starts. We used a custom deep learning neural network to predict binary healthy/unhealthy patients using only audio recorded by smartphone Developed a web service and web page to record and show the result. The accuracy is tested on the official test set in [1]
Why is early detection of COPD important for covid19?
SARS-CoV-2 uses the angiotensin converting enzyme II (ACE-2) as the cellular entry receptor to infect the lower respiratory tract. ACE-2 expression in lower airways is increased in patients with COPD and with current smoking [3] . ACE-2 is expressed in a variety of different tissues including both the upper and lower respiratory tract and myocardium. Importantly, nearly all deaths have occurred in those with significant underlying chronic diseases including COPD, and cardiovascular diseases These findings highlight the importance of increased surveillance of these risk subgroups for prevention and rapid diagnosis of this potentially deadly disease.
References
1- Rocha, B. M., Filos, D., Mendes, L., Vogiatzis, I., Perantoni, E., Kaimakamis, E., ... & Paiva, R. P. (2018). Α respiratory sound database for the development of automated classification. In Precision Medicine Powered by pHealth and Connected Health (pp. 33-37). Springer, Singapore.
2- Shi S, Qin M, Shen B, et al. Association of Cardiac Injury With Mortality in Hospitalized Patients With COVID-19 in Wuhan, China. JAMA Cardiol. Published online March 25, 2020. doi:10.1001/jamacardio.2020.0950
3- ACE-2 Expression in the Small Airway Epithelia of Smokers and COPD Patients: Implications for COVID-19. Janice M Leung, Chen Xi Yang, Anthony Tam, Tawimas Shaipanich, Tillie L Hackett, Gurpreet K Singhera, Delbert R Dorscheid, Don D Sin. Published in European Respiratory Journal doi: 10.1183/13993003.00688-2020
4 - Halpin, D. M., Faner, R., Sibila, O., Badia, J. R., & Agusti, A. (2020). Do chronic respiratory diseases or their treatment affect the risk of SARS-CoV-2 infection?. The Lancet Respiratory Medicine.
What's next for IntelliHearts
05/2020: Relase the platform letting people be able to use Machine learning detection and medical scores.
06/2020: Get the necessary medical certification.
07/2020: Involve hospitals for trials.
08/2020: find partnerships and investors.
Our Links:
Presentation link:
IntelliHearts presentation for EUvsVirus 2020
Respiratory disease test:
https://159.203.68.29:5000/
Video of Cardiac Disease test
Our AI Application that work with one of the compatible Smartwatch, running a cardiac analysis and parameters visualization
Video explain respiratory Disease test
Our AI on respiratory audio
Covid Risk test
(based on Italian Guidelines)
Covid risk test online
GitHub
GitHub Repo
Check out Our website IntelliHearts.com to keep in touch and have more Info
Built With
api
css
firebase
github
html
html5
java
javascript
keras
python
tensorflow
Try it out
159.203.68.29
www.intellihearts.com
www.intellihearts.com
github.com | IntelliHearts | Use automatized algorithm to early detect Covid-19 complications at Home | ['Lorenzo Diomeda', 'Selene Colapietra', 'Antonio diomeda'] | [] | ['api', 'css', 'firebase', 'github', 'html', 'html5', 'java', 'javascript', 'keras', 'python', 'tensorflow'] | 40 |
9,892 | https://devpost.com/software/likehome-nge6fb | Google Maps
Inspiration
we build a platform to help people with their emergency shelter needs. | HomeShelter | A platform which helps people to find emergency shelters. | ['Sulbha Aggarwal', 'Rupakshi Aggarwal', 'Sanchit Gupta'] | [] | [] | 41 |
9,892 | https://devpost.com/software/covid19thegame | Inspiration
Covid 19
What it does
Allows player to feel what it is like to infect people
How we built it
With an application called Processing.
Challenges we ran into
Objects colliding with walls.
Accomplishments that we are proud of
None
What we learned
Collisions
What's next for COVID19TheGame
Nothing
Built With
java
processing
Try it out
github.com | COVID19TheGame | Yo, how would you like to how would you like to play as a virus and infect people | ['phantomswordfish09 Nasution', 'Stuart Fong', 'AhadM'] | [] | ['java', 'processing'] | 42 |
9,892 | https://devpost.com/software/tohacks-covid-hack | Inspiration
We were both really passionate about maintaining healthy living in the covid age and wanted to gamify the message.
What it does
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Covid the Game
Built With
unity | Covid the Game | A child-friendly 2D platformer that introduces the value of maintaining mental health habits in a social distancing age! | ['Tina Ismail'] | [] | ['unity'] | 43 |
9,892 | https://devpost.com/software/volunteer-management-system | The main page of the VMS.
The copyright certification, issued by P.R.C.
zh-CN: EN-NP VMS 志愿者信息管理系统
en-US: EN-NP VMS (Volunteer Management System)
项目简称：EVMS 志愿者系统
Abbreviation: EVMS System
项目开发启动时间：2019年3月
Begin date: March, 2019
项目第一版（正式版）开发完成时间：2019年8月28日
1st Generation issue date: Aug.28 2019
开发者：Enson, Yan
Developer: Enson Yan, (CN: Yan, Yi Cheng)
中华人民共和国计算机软件著作权登记证书
CN Software Copyright Registration Certificate
软著登记号(Number of cert)：2019SR1023776
软著证书号(Reg Number of VMS)：软著登字第4444533号
Nowadays usage: The system can help goverment and schools to attract people who would like to volunteer during the hard times such as COVID-19.
Built With
php
Try it out
github.com | Volunteer-Management-System | The EN-NP Volunteer-Management-System (VMS), developed independently by EnsonYan, this system can manage volunteers and their works, it can cooperate with the real name authentication system - VMSV. | ['Enson Yan'] | [] | ['php'] | 44 |
9,892 | https://devpost.com/software/masked-ai-masks-detection-and-recognition | Platform Snapshot
Input Video
Model Processing
Model Processing
Output Video Saved
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Output Video Snapshot
Inspiration
The total number of Coronavirus cases is 5,104,902 worldwide (Source: World o Meters). The cases are increasing day by day and the curve is not ready to flatten, that’s really sad!! Right now the virus is in the community-transmission stage and taking preventive measures is the only option to flatten the curve. Face Masks Are Crucial Now in the Battle Against COVID-19 to stop community-based transmission. But we are humans and lazy by nature. We are not used to wear masks when we go out in public places. One of the biggest challenges is “People not wearing masks at public places and violating the order issued by the government or local administration.” That is the main reason, we built this solution to monitor people in public places by Drones, CCTVs, IP cameras, etc, and detect people with or without face masks. Police and officials are working day and night but manual surveillance is not enough to identify people who are violating rules & regulations. Our objective was to create a solution that provides less human-based surveillance to detect people who are not using masks in public places. An automated AI system can reduce the manual investigations.
What it does
Masked AI is a real-time video analytics solution for human surveillance and face mask identification. Our main feature is to identify people with masks that are advised by the government. Our solution is easy to deploy in Drones and CCTVs to “see that really matters” in this pandemic situation of the Novel Coronavirus. It has the following features:
1. Human Detection
2. Face Masks Identification (N95, Surgical, and Cloth-based Masks)
3. Identify human with or without mask in real-time
4. Count people each second of the frame
5. Generate alarm to the local authority if not using a mask (Soon in video demo)
It runs entirely on the cloud and does detection in real-time with analysis using graphs.
How we built it
Our solution is built using the following major technologies:
1. Deep Learning and Computer Vision
2. Cloud Services (Azure in this case)
3. Microservices (Flask in this case)
4. JavaScript for the frontend features
5. Embedded technologies
I will be breaking the complete solution into the following steps:
1. Data Preparation:
We collected more than 1000 good quality images of multiple classes of face masks (N95, Surgical, Clothe-based masks). We then performed data-preprocessing and labeled all the images using labeling tools and generated PASCAL VOC and JSON after the labeling.
2. Model Preparation:
We used one of the famous deep learning-based object detection algorithm “YOLO V-3” for our task. Using darknet and Yolo v-3, we trained the model from scratch on 16GB RAM and Tesla K80 powered GPU machine. It took 10 hours to train the model. We saved the model for deploying our solution to the various platforms.
3. Deployment:
After training the model, we built the frontend which is totally client-based using JavaScript and microservice “Flask”. Rather than saving the input videos to our server, we are sending our AI to the client’s place and using Microsoft Azure for the deployment. We are having on-premise and cloud solutions prepared. At the moment, we are on a trail so we can’t provide the link URL.
After building the AI part and frontend, We integrated our solution to the IP and CCTV cameras available in our house and checked the performance of our solution. Our solution works in real-time on video footage with very good accuracy and performance.
Challenges we ran into
There are always a few challenges when you innovate something new. The biggest challenge is “The Novel Coronavirus” itself. For that reason, we can’t go outside the home for the hardware and embedded parts. We are working virtually to build innovative solutions but as of now, we are having very limited resources. We can’t go outside to buy hardware components or IP & CCTV cameras. One more challenge we faced was that we were not able to validate our solution with drones in the early days due to the lockdown but after taking permission from the officials that problem was not a deal anymore.
Accomplishments that we're proud of
Good work brings the appreciation and recognition. We have submitted our research paper in several conferences and international journals (Waiting for the publication). After developing the basic proof-of-concept, We went on to the local government officials and submitted our proposal for a trial to check our solution for better surveillance because the lockdown is near to be lifted. Our team is also participating in several hackathons and tech event virtually to showcase our work.
What we learned
Learning is a continuous process. We mainly work with the AI domain and not with the Drones. The most important thing about this project was “Learning new things”. We learned how to integrate “Masked AI” into Drones and deploy our solution to the cloud. We added embedded skills in our profile and now exploring more features on that part. The other learning part was to take our proof of concept to the local administration for trails. All these “Government Procedures” like writing Research Proposal, Meeting with the Officials, etc was for the first time and we learned several protocols to work with the government.
What's next for Masked AI: Masks Detection and Recognition
We are looking forward to collaborating with local administrative and the government to integrate our solution for drone-based surveillance (that’s currently in trend to monitor internal areas of the cities). Parallel, The improvement of model is the main priority and we are adding “Action Recognition” and “Object Detection” features in our existing solution for even robust and better solution so decision-makers can make ethical decisions as because surveillance using Deep Learning algorithms are always risky (bias and error in judgments).
Built With
azure
darknet
flask
google-cloud
javascript
nvidia
opencv
python
tensorflow
twilio
yolo | Masked AI: AI Solution for Face Mask Identification | Masked AI is a cloud-based AI solution for real-time surveillance that keeps an eye on the human who violates the rule by not using face masks in public places. | [] | [] | ['azure', 'darknet', 'flask', 'google-cloud', 'javascript', 'nvidia', 'opencv', 'python', 'tensorflow', 'twilio', 'yolo'] | 45 |
9,892 | https://devpost.com/software/covnatic-covid-19-ai-diagnosis-platform | Landing Page
Login Page
Segmentation of Infected Areas in a CT Scan
Check Suspects using Unique Identification Number (New Suspect)
Check Suspects using Unique Identification Number (Old Suspect)
Suspect Data Entry
COVID-19 Suspect Detector
Upload Chest X-ray
Result: COVID-19 Negative
Upload CT Scan
Result: Suspected COVID-19
Realtime Dashboard
Realtime Dashboard
Realtime Dashboard
View all the Suspects (Keep and track the progress of suspects)
Suspect Details View
Automated Segmentation of the infected areas inside CT Scans caused by Novel Coronavirus
Process flow of locating the affected areas
U-net (VGG weights) architecture for locating the affected areas
Segmentation Results
Detected COVID-19 Positive
Detected Normal
Detected COVID-19 Positive
Detected COVID-19 Positive
GIF
Located infected areas inside lungs caused by the Novel Coronavirus
Endorsement from Govt. Of Telengana, Hyderabad, India
Endorsement from Govt. Of Telengana, Hyderabad, India
Generate Report: COVID-19 Possibility
Generate Report: Normal Case
Generated PDF Report
Inspiration
The total number of Coronavirus cases is
2,661,506 worldwide
(Source: World o Meters). The cases are increasing day by day and the curve is not ready to flatten, that’s really sad!! Right now the virus is in the community-transmission stage and rapid testing is the only option to battle with the virus. McMarvin took this opportunity as a challenge and built AI Solution to provide a tool to our doctors. McMarvin is a DeepTech startup in medical artificial intelligence using AI technologies to develop tools for better patient care, quality control, health management, and scientific research.
There is a current epidemic in the world due to the Novel Coronavirus and here
there are limited testing kits for RT-PCR and Lab testing
. There have been reports that kits are showing variations in their results and false positives are heavily increasing.
Early detection using Chest CT can be an alternative to detect the COVID-19 suspects.
For this reason, our team worked day and night to develop an application which can help radiologist and doctors by automatically detect and locate the infected areas inside the lungs using medical scan i.e. chest CT scans.
The inspirations are as below:
1. Limited kit-based testings due to limited resources
2. RT-PCR is not as much as accurate in many countries (recently in India)
3. RT-PCR test can’t exactly locate the infections inside the lungs
AI-based medical imaging screening assessment is seen as one of the promising techniques that might lift some of the heavyweights of the doctors’ shoulders.
What it does
Our COVID-19 AI diagnosis platform is a fully secured cloud based application to detect COVID-19 patients using chest X-ray and CT Scans. Our solution has a centralized Database (like a mini-EHR) for Corona suspects and patients. Each and every record will be saved in the database (hospital wise).
Following are the features of our product:
Artificial Intelligence to screen suspects using CT Scans and Chest X-Rays.
AI-based detection and
segmentation & localization of infected areas inside the lungs
in chest CT.
Smart Analytics Dashboard
(Hospital Wise) to view all the updated screening details.
Centralized database (only for COVID-19 suspects) to
keep the record of suspects and track their progress
after every time they get screened.
PDF Reports,
DICOM Supports
, Guidelines, Documentation, Customer Support, etc.
Fully secured platform
(Both On-Premise and Cloud)
with the privacy policy under healthcare data guidelines.
Get Report within Seconds
Our main objective is to provide a research-oriented tool to alleviate the pressure from doctors and assist them using AI-enabled smart analytics platform so they can
“SAVE TIME”
and
“SAVE LIVES”
in the critical stages (Stage-3 or 4).
Followings are the benefits:
1. Real-world data on risks and benefits:
The use of routinely collected data from suspect/patient allows assessment of the benefits and risks of different medical treatments, as well as the relative effectiveness of medicines in the real world.
2. Studies can be carried out quickly:
Studies based on real-world data (RWD) are faster to conduct than randomized controlled trials (RCTs). The Novel Coronavirus infected patients’ data will help in the research and upcoming such outbreak in the future.
3. Speed and Time:
One of the major advantages of the AI-system is speed. More conventional methods can take longer to process due to the increase in demand. However, with the AI application, radiologists can identify and prioritize the suspects.
How we built it
Our solution is built using the following major technologies:
1. Deep Learning and Computer Vision
2. Cloud Services (Azure in this case)
3. Microservices (Flask in this case)
4. DESKTOP GUIs like Tkinter
5. Docker and Kubernetes
6. JavaScript for the frontend features
7. DICOM APIs
I will be breaking the complete solution into the following steps:
1. Data Preparation:
We collected more than 2000 medical scans i.e. chest CT and X-rays of 500+ COVID-19 suspects around the European countries and from open source radiology data platform. We then performed validation and labeling of CT findings with the help of advisors and domain experts who are doctors with 20+ experience. You can get more information in team section on our site. After carefully data-preprocessing and labeling, we moved to model preparation.
2. Model Development:
We built several algorithms for testing our model. We started with CNN for classifier and checked the score in different metrics because creating a COVID-19 classifier is not an easy task because of variations that can cause bias while giving the results. We then used U-net for segmentation and got a very impressive accuracy and got a good IoU metrics score. For the detection of COVID-19 suspects, we have used a CNN architecture and for segmentation we have used U-net architecture. We have achieved 94% accuracy on training dataset and 89.4% on test data. For false positive and other metrics, please go through our files.
3. Deployment:
After training the model and validating with our doctors, we prepared our solutions in two different formats i.e. cloud-based solution and on-premise solution. We are using EC-2 instance on AWS for our cloud-based solution.
Our platform will only help and not replace the healthcare professionals so they can make quick decisions in critical situations.
Challenges we ran into
There are always a few challenges when you innovate something new. The biggest challenge is “The Novel Coronavirus” itself.
One of the challenge is “Validated data” from different demographics and CT machines.
Due to the lockdown in the country, we are not able to meet and discuss it with several other radiologists. We are working virtually to build innovative solutions but as of now, we are having very limited resources.
Accomplishments that we're proud of
We are in regular touch with the State Government (Telangana, Hyderabad Government). Our team presented the project to the Health Minister Office and helping them in stage-3 and 4.
Following accomplishments we are proud of:
1. 1 Patent (IP) filled
2. 2 research paper
3. Partnership with several startups
4. In touch with several doctors who are working with COVID-19 patients. Also discussing with Research Institutes for R&D
What we learned
Learning is a continuous process. Our team learnt
"the art of working in lockdown"
. We worked virtually to develop this application to help our government and people. The other learning part was to take our proof of concept to the local administration for trails. All these “Government Procedures” like writing Research Proposal, Meeting with the Officials, etc was for the first time and we learned several protocols to work with the government.
What's next for M-VIC19: McMarvin Vision Imaging for COVID19
Our research is still going on and our solution is now endorsed by
the Health Ministry of Telangana
. We have presented our project to
the government of Telangana for a clinical trail
. So the next thing is that we are looking for trail with hospitals and research Institutes. On the solution side, we are adding more labeled data under the supervision of Doctors who are working with COVID-19 patients in India. Features like
Bio-metric verification, Trigger mechanism to send notification to patients and command room
, etc are under consideration. There is always scope of improvement and AI is the technology which learns on top of data. Overall, we are dedicated to take this solution into real world production for our doctors or CT and X-rays manufacturers so they can use it to fight with the deadly virus.
Built With
amazon-web-services
flask
google-cloud
javascript
keras
nvidia
opencv
python
sqlite
tensorflow
Try it out
m-vic19.com | M-VIC19: McMarvin Vision Imaging for COVID19 | M-VIC19 is an AI Diagnosis platform is to help hospitals screen suspects and automatically locate the infected areas inside the lungs caused by the Novel Coronavirus using chest radiographs. | [] | ['1st Place Overall Winners', 'Third Place - Donation to cause or non-profit organization involved in fighting the COVID crisis'] | ['amazon-web-services', 'flask', 'google-cloud', 'javascript', 'keras', 'nvidia', 'opencv', 'python', 'sqlite', 'tensorflow'] | 46 |
9,892 | https://devpost.com/software/asciikarate | People will be extra bored with virus restrictions so they can waste time with this game
Built With
c++ | AsciiKarate | A simple command line game for chopping things | [] | [] | ['c++'] | 47 |
9,892 | https://devpost.com/software/onus | Choosing donation chategories
Home
Selecting a shelter to donate to
Donate page
Inspiration
In the last few months, COVID-19 has become a global pandemic that has affected millions. With social distancing, it has become difficult to find ways to help the vulnerable without endangering each other. In these uncertain times, it is extremely difficult for the vulnerable and homeless and they need assistance and support more than ever. How may we have a positive impact of helping others while still practicing social distancing and isolation?
What it does
Onus is a webapp that informs users on how to assist those who are most vulnerable during the COVID-19 pandemic through donations and volunteering. By using your location, Onus will curate various charities and organizations in need of resources and assistance. For item donations, a thorough step by step guide will demonstrate accepted items and non-accepted items and how to prepare them. Finally, through the selected organization, users can schedule delivery and pick-up of the donated items.
The purpose of Onus is to highlight our own responsibilities as citizens to assist those in need, especially in times of great uncertainty.
How we built it
Onus was built using HTML/CSS and JavaScript.
Challenges I ran into
We ran into some issues with merging branches and having the changes update on the live website.
Accomplishments that I'm proud of
We're proud to have created an application that could potentially guide people towards a tangible way to help those in need.
What I learned
We used Github collaboratively for the first time, learning how to push, pull and merge our branches. We also learned quite a bit from researching the current situation that many of Toronto’s homeless population are facing and the struggles that have come up because of the COVID-19 pandemic.
What's next for Onus
Onus could utilize geolocation for convenience and accuracy. It could also provide additional information for each organization, providing live updates on resources, occupancy and upcoming events. Furthermore, features could include local and larger scale businesses to contribute towards resource productions (i.e. PPE productions such as masks and hand sanitizer).
This pandemic has been a spark for community solidarity and we hope that it will continue as we begin to recover. Post-pandemic, we hope that this galvanizes continued support for people in need from the members of the community that can provide it.
Built With
css3
html5
javascript
jquery
Try it out
carloforrest.github.io | Onus | Onus is webapp that informs users on how to assist those who are most vulnerable during the COVID-19 pandemic through donations and volunteering. | ['Carlo Forrest Dormiendo', 'Wesley Slade', 'Kayla Bajnauth'] | [] | ['css3', 'html5', 'javascript', 'jquery'] | 48 |
9,892 | https://devpost.com/software/shooter-alert-p9gbq7 | This is our app's interface. There are two buttons: one for just suspicious activity, and the other to report a confirmed shooter.
Inspiration
We both stay up to date with the news and were concerned with the number of school shootings that take place all over the country. We decided that we wanted to help out with this problem!
What it does
The school administrators can input the phone numbers of all of the students and faculty in their school (phone numbers can also be deleted). There are two messages: Report Suspicious Activity and Report Shooter. When either of these buttons are pressed by anyone in the phone number list, an alert is sent to the whole school with that specific message.
How we built it
We used MIT App Inventor to build our app.
Challenges we ran into
At first, we were not sure how to communicate information between screens. However, after watching tutorials on the internet, we figured it out.
Accomplishments that we're proud of
Neither of us were familiar with MIT App Inventor, so we were not sure if we could successfully accomplish this project. We are proud that we were able to pull it off.
What we learned
We learned valuable skills for creating an app and we learned many things about MIT App Inventor. Most of all, we learned how to work together as a team!
What's next for Shooter Alert
We created this app with the hope that we would be able to make a difference. We are looking forward to launching this app!
Built With
mit-app-inventor | Shooter Alert | We created an app were schools can report suspicious activity or a shooter to their students and faculty by the click of a button. | ['Reshma Kosaraju', 'Alice Tao'] | [] | ['mit-app-inventor'] | 49 |
9,892 | https://devpost.com/software/quickeats-x7fdp4 | Home Page
Information Page
Sends the restaurant's data to Firebase
Retrieves the restaurant's information from Firebase to showcase the offered products
Uses the restaurant's address from Firebase to calculate the latitude and longitude and to show where the stores are located through APIs
Firebase Portal
Inspiration
COVID-19 brought much of global economic activity to a halt, hurting businesses and causing people to lose their jobs. In particular, restaurant owners suffer a great loss due to few customers and wasted food. A new study suggests that one in 10 restaurants around the country have permanently closed due to COVID-19. Restaurants Canada says an estimated 800,000 jobs have been lost across the country in the past month and more than 300,000 of those jobs are in Ontario alone.
We feel an urge to help them endure this hardship and thought of a platform for them to resell their stocked food to everyone. Although it is at a lower price, it benefits not only the restaurants in minimizing costs but also the general public in saving money, moreover the environment for not wasting resources.
What it does
QuickBites allows restaurants to make postings of the food they are selling on the
"Partners"
page. Then the information will be stored in the database for everyone to see. Consumers can buy specific products as a discounted rate on the
"Products"
page. In addition, QuickBites have a
"Location"
page that shows all of the restaurant partners so that consumers can easily pick one that is most convenient to their home. This portion is completed with the support of Google Maps and Place API.
How we built it
We built this project using JavaScript, HTML/CSS, Bootstrap, React, and Firebase. We designed our website with React framework and managed all details with HTML, CSS and Bootstrap. Furthermore, we implemented our database using JavaScript and Firebase, and we incorporated the Google Maps and Place API to show the restaurants near the users.
Challenges we ran into
When making this project, one of our struggles was designing a visually appealing and functional website. By using Bootstrap and carefully designing the details, we were able to overcome this problem. The other issue we came across was managing different states in React and integrating everything together with Firebase. The large number of interactions our web app is making causes the issue and we resolved it at the end by continuous debugging and checking over.
Accomplishments that we're proud of
We successfully completed the project and it worked perfectly in the end. We are proud of ourselves since we do not have a lot of experience with React + Firebase. However, we persist to complete the project.
What we learned
We reinforced our knowledge on implementing React and Firebase, and we learned to integrate Google Maps and Place API into our website which created a convenient experience for users.
What's next for QuickBites
In terms of technical aspects, we hope to implement more APIs and explore more with Google Cloud services along with other databases such as MongoDB.
QuickBites can not only help restaurant owners but also other local retail stores in the COVID-19 crisis. We hope to implement it in the near future to contribute our part to the economy amidst the pandemic.
Built With
bootstrap
css
firebase
google-maps
google-places
html
javascript
react
Try it out
github.com | QuickBites | QuickBites is proud to help local restaurants in Toronto to ensure that they are profitable despite of lack of customers due to COVID-19, by letting restaurants sell stocked food to the public. | ['Kevin Xu', 'Jiale Tom Tian', 'Dennis Bae'] | [] | ['bootstrap', 'css', 'firebase', 'google-maps', 'google-places', 'html', 'javascript', 'react'] | 50 |
9,892 | https://devpost.com/software/violet-i2a5sv | Website Homepage
Login Screen
Settings/Home Screen
"Discreet Mode," disguised as a food app
Recordings Page
Prototype of the UI
The App on a Phone
Inspiration
Staying at home cooped up with your family is difficult enough. It becomes even harder when those you live with pose a threat to your safety and well-being. However, that is the reality for many. In fact, domestic abuse calls have gone up by 22% since COVID-19. Our app aims to help people who fear domestic abuse feel secure and allow them to contact a trusted friend or the authorities with a simple voice command.
What it does
Violet is an app that's designed to be secretive, and installed by people who fear domestic abuse. The app records conversations above a certain volume and uses Google speech-to-text API to listen to what is being said. Recordings are only saved if negative words are being used, meaning that a fight is happening. These recordings can be later used as evidence, viewed, or deleted. Additionally, the app listens for a secret trigger word that the user sets themself. If it hears this word, it sends a discreet text to a trusted friend warning that the user may be in danger. You can customize the icon of the app so the appearance can be whatever you want (such as the Discord logo). The app is password protected and can be disguised as a food delivery app for more security.
How we built it
We used Adobe XD to prototype the UI and HTML, CSS, and Javascript for the website. The app was created using Android Studio.
Challenges we ran into
Some challenges we ran into were how to design the app in a way that we can still spread awareness about the app without worrying that abusers might find out about it.
Accomplishments that we're proud of
We're proud of being able to create something that can help and bring awareness to an issue we feel strongly about. Additionally, we're very pleased about creating our first website and how visually appealing it looks.
What we learned
We learned how to create a website, use Android Studio, and more about material design.
What's next for Violet
The next steps for Violet would be to do more research about abuse patterns and find a way to track cues from speech. This could potentially allow us to filter conversations better.
Built With
android-studio
css
google-web-speech-api
html
java
javascript
Try it out
violetsupport.online
github.com | Violet | A discreet app to protect those threatened by domestic violence | ['Vanessa Elefteriadis', 'Dina Bernstein', 'Zihe Zhang', 'Emily Jiao'] | [] | ['android-studio', 'css', 'google-web-speech-api', 'html', 'java', 'javascript'] | 51 |
9,892 | https://devpost.com/software/stay-at-farm-everybody | Inspiration
Inspired by the forest app that plants trees when you stay focused and stay away from your phone, the Stay At Farm Everybody! app rewards its users when they stay at home to avoid the spread of COVID-19.
What it does
The app simply checks for the user's location and sees how long have they been staying in one location. The longer one stays in one location, the greater variety of animal collections they get!
How we built it
We built this app using Android Studio, with the languages Java and XML as well as the APIs of Radar.io and Firebase.
Challenges we ran into
None of us have really used APIs before and we had to learn as we go.
Accomplishments that we're proud of
We made an app that can hopefully help flatten the curve and we ourselves stayed home for a long time to write this so uh yeah we contributed in flattening the curve.
What we learned
We learned mostly about Android app User interfaces and implementation of APIs.
What's next for Stay At Farm Everybody!
Stay At Farm Everybody will continue to work on better game design and game functions.
Built With
firebase
java
radar.io
xml | Stay At Farm Everybody! | Safe at Home, Stay at Farm! | ['Mingyu Liu', 'Kefei Li', 'Alice Wang', 'Qing Shi'] | [] | ['firebase', 'java', 'radar.io', 'xml'] | 52 |
9,892 | https://devpost.com/software/literacy-bot-37ab5s | Inspiration
The SDG of Quality Education
What it does
A game which guesses a book title that a user has in mind based on Yes-or-No answers in order to get people more engaged in literature and reading books
How I built it
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Literacy Bot | Literacy Bot | A game which guesses a book title that a user has in mind based on Yes-or-No answers in order to get people more engaged in literature and reading books | ['Austin You'] | [] | [] | 53 |
9,892 | https://devpost.com/software/freely-feminine-b138hr | Logo
Promotion sticker
Promotion sticker
Promotion sticker
Promotion sticker
Promotion sticker
Inspiration
In Toronto, 42% of the homeless population is women. Although they represent a significant portion of the homelessness epidemic in Canada, their needs are often the least met. In modern society, the introduction to womanhood begins and ends with a pad. Unfortunately, the majority of homeless women experience their menstrual cycle in unsanitary conditions. As a group, we recognized this to be a significant social issue and wanted to do something about it. These women are typically forced to use cotton balls, tissues, and even socks to make up for what our society has failed to provide. During COVID-19, the struggle has only worsened. A number of shelters have been closed, limiting their hours, or limiting the number of women who can have access to their resources. We believe sanitary conditions for menstruation are not a luxury but rather a human right.
What it does
Freely Feminine is dedicated to removing the shame that comes with menstruation. By placing feminine hygiene products at dispersion kiosks known as “SmartFemme Stations” around the City of Toronto, we will be alleviating the need of these women. The kiosks would be located in strategic locations where female homeless populations are high like Young and Dundas as well as Eglington. When homeless women approach, they would enter in their information and be presented with what type of sanitary product best suits their personal needs as every woman has different needs. The kiosk would also be attached to an app that can be accessed by women of any and all socio-economic standards.
COVID-19 has had long-lasting implications by stripping many women of access to contraceptives and other forms of family planning materials. By having access to the Freely Feminine App, women across the GTA would be able to punch in their information and track their cycle as well as have 24/7 communication with the local doctor's office.
Our brand allows women to take their personal hygiene back into their own hands, providing them with the necessary physiological security to start a future where they can help others.
How we built it
Our digital kiosk uses capacitive touchscreen technology. It makes good use of the fact that the human body is naturally conductive. Our screens are made of transparent, conductive material, and it is coated onto a glass material. This allows multiple touchpoints on the screens and the reason it works is that it interacts with any conductive materials, and since a human finger is conductive, it interacts easily. It also does not require direct touch which is why our screens are encased in an extra glass protective layer. Water would also not disrupt the connection and therefore have a longer lifetime. Our touchscreens simplify the design of our system and make it possible to attain a compact size while reducing the cost of maintenance during its life cycle.
Challenges we ran into
For many of our team members, this was their first hackathon and introduction to the STEAM world without any prior experience of coding, developing apps, or creating websites. However, we successfully carried our knowledge learned from previous computer science and business high school courses in order to design a sustainable solution to an ongoing social issue that is prevalent throughout society today. One of the challenges we faced was coding. We were determined to integrate coding into our presentation such that it showcased our knowledge of the technical world with an emphasis on technical complexity. In order to perform to the best of our ability, we used the help of the TOHack mentors who provided specific links to tutorials which we could reference in order to code our website and find different platforms to embed into the website. Moreover, we ran into some trouble using the coding software. For example, we had learned basic HTML coding prompts in school but never knew how to develop complex and professional-looking websites. To elaborate, this meant that we only knew how to change the background color and add text. This made it challenging for us to code it in a way that it looked professional and complex. Despite the fact that we could have opted to use website development software such as Wix, we wanted to gain more knowledge on coding itself. To alleviate the problem of not knowing how to code HTML, we watched tutorials and conducted further research on the types of codes we could use. After several hours, we created a seamless and successful website that involved the use of hyperlinks, contact forms and gave a much better look than what Wix could have provided. In addition, as we had never developed an app before, we were initially lost on how to approach this new concept. However, through further research online, gaining knowledge from our peers, and having a conversation with a mentor, we understood how to create a mockup app that can be accessed through a QR code and function as a real app that can be found on an app store.
Moreover, we were intimidated by other teams as they consisted of university students that had immense knowledge on the topic of STEAM and coding. However, we built off of what we knew and stepped out of our comfort zone to learn new concepts such as coding, to produce an idea we are extremely proud of and believe in.
Accomplishments that we're proud of
As a team of four best friends with experience of working together on previous projects, we are extremely passionate and driven to work as a team in order to produce results that we are completely satisfied with. However, our previous projects have never involved developing such advanced ideas from scratch, which is what motivated us to apply for this hackathon in the first place. We have successfully created a website, an app, a 3D prototype of our product, and the business aspect as background information about the product. Specifically, we are very proud of the fact that we created a website using HTML coding, and not a template-based software such as Wix. As women, we are proud of ourselves for creating awareness of such a social issue that directly impacts the women of our communities, our sisters, our mothers, our aunts, and girlfriends. In addition, we were able to use our knowledge of the HTML code that we picked up in the computer science course in high school and to see the uses of it outside a classroom environment which was very rewarding. Leading up to this competition, we practiced our skills to code and create websites and were able to successfully create one that reflects our quality and standards of professionalism.
What we learned
As teenagers living in the 21st century, the most volatile weapon we have is access to technology. Our team prides ourselves on being lifelong learners and being able to treat each day as a learning experience. Designing our “On the Go Flow Stations” has taught us the importance of formatting code and how expansive coding languages truly are. By working in languages that we were not particularly familiar with like HTML, we began to appreciate the differences between each coding language as we had a better understanding of the benefits each one offered. When working, it is easy to become discouraged when the code does not work properly the first time. We were truly tasked with applying our knowledge and thinking outside of the box when looking for solutions. In particular, expanding our horizons when it comes to working with new coding languages. Previously to this experience, we had only learned the barebone basics of java and HTML. Through this experience, we have also had time to work with Appy Pie - a fundamental aspect of our application.
When coding, we had focused on a lot of the back-end elements, oftentimes forgetting the importance of design. Since we knew how personal this app would be, we wanted to ensure it was warm, welcoming, and would truly serve the individuals who would need it the most. The design was an element that we truly had to work outside of our comfort zone to master. Using third party websites like Vectary, allowed us to consider both the software and hardware elements, keeping our design as comprehensive as possible.
As grade 11 students with a passion for technology, we used this hackathon as a stepping stone to elevate our basic skills and ensure our passion shines through with every line of code.
What's next for Freely Feminine
Although we may have successfully created a brand and product, it has a long way to go before it can be integrated into the world of STEAM. There is tremendous potential for this idea and it has the ability to create a demanding change in this modern society where equality for women is an evergoing fight. In the future, we may look to add more features to our app to better accommodate the users. This can be done by testing out our prototypes and gaining valuable feedback and critiques of business professionals across the world. Also, we will look to expand upon this idea to UN Women who have previously done a lot of work that is concerned with women’s issues. For example, they have partnered with the Ministry of Women and Child Affairs (MoWCA) to distribute 7893 dignity kits to households all around Bangladesh and have brought the importance of sanitary towels to Africa.
Built With
appy-pie
gamesalad
html | Freely Feminine | On the Go Flow. A feminine product dispenser that aims to provide free sanitary products to women under the poverty line in hopes to maintain hygiene and feel more human. :) | ['Yashita Arya', 'Eyitade Kunle-Oladosu', 'ashkirat kahlon', 'Ananya Ohrie'] | [] | ['appy-pie', 'gamesalad', 'html'] | 54 |
9,892 | https://devpost.com/software/real-estate-investment-assist | MongoDB
MongoDB
Dataset legend
Inspiration
In light of COVID-19, we saw real estate to be one of the most heavily impacted markets. With an increasing strain on rent in all parts of north america, we saw this opportunity to create this proof of concept web app. By leveraging cloud technologies, we wanted to come up with a better way of doing real estate research. By surveying users based on their priorities, we can develop more sophisticated suggestions for buyers.
What it does
By surveying users based on their priorities, we can develop more sophisticated suggestions for buyers. We decided to start with an existing real dataset for Kings county, and derived some additional sentiment based fields such as a walking score, transit score, and biking score for each property. This will allow buyers to have a much clearer view of what they are looking at.
How we built it
Github Link: github.com/mariammendha/Researcher--Reality
-Google maps API, WalkScore API, HTML, Angular, Python
-Fleshed out the properties for Mongodb Atlas, a cloud based database.
-Linked the database to an external scoring api, developing new fields for the Dataset.
-Connected the UI to a cloud hosted MongoDb database backend. Created a website and an extensive form to get info from buyers.
-Developing a model for the data and connecting the location data to the map API on Google.
Challenges we ran into
Developing links between the forms, MOngodb and Google Cloud API.
Displaying data on the map without constraining the API and making it appear too buggy.
Developing reasonably queries for BigQuery to display data that is relevant to the user.
Accomplishments that we are proud of
We were able to collect the desire requirement and info of the buyers, which was then connected to google cloud platform and maps to configure the possible safer and better facilitated houses.
What we learned
It was a total new level experience working with a new team and new people digitally, which was different from the hackathon happened so far. We enjoyed the exposure that we got to web development , GCP, and cloud database design.
What's next for Real Estate Investment Assist
As a proof of concept, this has commercial potential, especially when combined with several other datasets. Crime and health data can be taken in consideration and can be the subject of research for real estate investment.
Built With
angular.js
c
css
html
mongodb
python
Try it out
mariammendha.github.io
github.com
bigquerygeoviz.appspot.com | Realty Researcher | Webapp to assist in the Real estate Investment research process for Institutional and Retail Investors | ['Matthew Law', 'Mariam Mendha', 'Nabin Kumar Chhetri', 'AmDeep Singh'] | [] | ['angular.js', 'c', 'css', 'html', 'mongodb', 'python'] | 55 |
9,892 | https://devpost.com/software/master-menu | Search Page
Map to Locate Restaurants
Sorting Menu by Preference
Pre-ordering Restaurant Dishes and Adding Them to Shopping Cart
Login Page for Restaurants
Inspiration
When going to eat out at restaurants with friends, we often felt that it would take up too much of our time. First, we had to wait to be seated, then spend more time going over the menu deciding what to eat and then wait again for our order to be taken and our food to be made. Additionally, we felt the inefficiency was hurting the bottom line of restaurants.
What it does
The Master Menu is an innovative application that ameliorates customers' dining experiences while also expanding restaurant capacity. Essentially this application allows you to input foods you like, dislike, allergies or dietary restrictions and takes all this information to sort a digital menu. In this way the dishes you are most likely to order will be at the top, eliminating the need to read through a menu again. Moreover, once you have decided on a dish you like, you can pre-order the dish so that the restaurant will get started ahead of time and have it ready within minutes of your arrival.
How I built it
We built it primarily using HTML/CSS, with some JavaScript functionality. We also worked with some Google APIs, to add to our website.
Challenges I ran into
A big challenge we faced was completing everything that we wanted to in the limited time period we had. As a result, we weren't able to program all the functionalities we would have liked to. However, we didn't let this discourage us and implemented what we could get to, to the best of our abilities.
Accomplishments that I'm proud of
We're proud that we stayed committed to our project and put as much time as we possibly could into it. We are proud that we were able to make a very presentable final product, while also learning a lot along the way.
What I learned
We've learned about the fundamentals of UI and what makes a professional website. We learned about how to use Google APIs and ended up incorporating some into our project. Finally, we learned more about the development process of creating a website and that it is vital to do a lot of planning before even starting to code your HTML framework.
What's next for Master Menu
After the hackathon, we'll be looking to implement all the features we initially planned to include and also looking to use React Native to turn it into an application.
Currently, you can access with domain:
http://mastermenu.live/
.
Also had crashing problems, its titled MasterMenu
See video at:
https://youtu.be/lBD15AiOxFU
Built With
css
google-maps
html
javascript
visual-studio
Try it out
github.com | The Master Menu | A restaurant application that offers the personalization you're overall dining experience | ['Ayush-Warikoo Warikoo', 'Victor Zhang'] | [] | ['css', 'google-maps', 'html', 'javascript', 'visual-studio'] | 56 |
9,892 | https://devpost.com/software/lib-jbuql5 | Inspiration
During quarantine, our team has found it hard to focus on studying and other personal improvement projects. We often video call each other to motivate each other and work at the same time, like a library. We had the idea to create a virtual library where users can sign on, and an incentive prevents them from clicking away from the window.
What it does
Accessing the login page allows you to create a unique username. Once you enter this your username will be displayed on the library's list of online users. When you are focused with this webpage open, your "plant" stays alive, but if you (or any of your friends currently in the library!) click away from the page, your plant dies and a notice is displayed. At a regular interval, if your plant is uninterrupted, it will grow and add to the number of "alive" plants. Counters for alive and dead are displayed on the library page to keep score!
How we built it
We used SQLite 3 as our database to store information between users. To get the information stored in the database, we used Flask to create APIs that the client side can call upon. We used Vue.js to show client side updates as well as making GET and POST requests to the API to add to the database. When the user is not focused on the window, the jQuery code detects that the user has navigated away, causing the plant to die. We used CSS to style the webpage.
Challenges we ran into
Two of our members had never used Vue.js or SQL before, so it was a challenge to get everything set up in the backend. We also had some problems making sure that the online users and alive/dead counts were updated regularly without the need to refresh the page.
Accomplishments that we're proud of
We created a fairly complex backend structure including several different components.
What we learned
Asynchronous programming is difficult!
What's next for leafy
Some ideas that we had for future development:
Hosting leafy on a server
Allowing the user to choose specific websites that will cause tree to die, e.g. Facebook, and otherwise letting the tree stay alive
Developing backend structures for keeping track of multiple rooms at once
Adding a password with username login to allow for personal accounts & tracking scores
Allowing the user to change the amount of time that the room wants to stay focused (altering the goal)
Built With
css
flask
html
javascript
jinja
jquery
python
sqlite
vue
Try it out
github.com | leafy | A virtual library to stay focused with friends | ['Kay Wu', 'melona7', 'Bhavyaa Chandarana'] | [] | ['css', 'flask', 'html', 'javascript', 'jinja', 'jquery', 'python', 'sqlite', 'vue'] | 57 |
9,892 | https://devpost.com/software/teachnow-1rit9a | Inspiration
Being first year computer science undergraduate students caught in the same situation as the rest of the world, we started to think about ways to make life a little more easygoing for some. In our experience, getting feedback from our professors became extremely hard now that we can't see them in person, so we decided to develop a straightforward web app which would help with that.
What it does
It allows students and teachers to register and sign in to the app, and from there they have different options depending on their role:
Teachers can create or remove questions that are to be answered by students. They can also leave feedback on the students' answers.
Students can view and answer the questions posted by teachers, as well as the feedback left by them.
How we built it
Using Python 3.8 and the Django web framework.
Challenges we ran into
Django itself, as we had no prior experience with it, yet could not come up with an idea we'd like better. We had to learn it from scratch, and we've just recently gotten our bearings.
Accomplishments that we're proud of
Learning Django, the pressure we were facing as we struggled to think of a way to make our idea work, combined with this being our first hackathon, made for a very stressful yet fruitful experience.
What we learned
How to use Django, as well as how to properly communicate in team situations using messaging apps and GitHub for collaboration.
What's next for teachNow
Further smooth out the edges as we continue practicing with Django, eventually reaching the project in its ideal form, the way we had thought of it.
Built With
css3
django
html5
python
Try it out
github.com | teachNow | A web application made for teachers and students, which facilitates student input and feedback. | ['Harry Pino', 'Amanda Pham', 'Michael Lim'] | [] | ['css3', 'django', 'html5', 'python'] | 58 |
9,892 | https://devpost.com/software/stayfocused-xpekl1 | Main Frame
Our domain name "stopwastingurtime.space"
To Do List
Inspiration
As a result of the COVID-19 pandemic, the entire education system was derailed at an unforeseen time. Many students struggled to adjust to their new lifestyles of staying home all day and online learning (online homework, lectures and exams).
What it does
Stay Focused is a Python application that allows students to stay focused by keeping track of their schedules, create to-do lists and monitor their usage on social media sites like TikTok and Youtube.
How I built it
Using Python's Graphical User Interfaces from Tkinter, Object Oriented Programming and Data Structures
Challenges We Faced
We were all new to Python and Tkinter so we faced many challenges with programming, using GUI interfaces and Data Structures.
Domain Name Challenge
We hosted our domain using domain.com, our domain name is stopwastingurtime.space
Built With
python
Try it out
github.com | StayFocused | A Python Application that allows you to manage your life during the COVID-19 pandemic | ['Alize De Matas', 'Yolanda Chen', 'Isabel Heyninck'] | [] | ['python'] | 59 |
9,892 | https://devpost.com/software/digital-covid-test | Our team understands how stressful life currently is, and we wanted to help out by providing easily accessible and personalized information to anyone. We developed a digital survey for COVID-19 that would provide useful information to people unique to their situation and provide guidelines for people in any circumstance. If the general public is more informed about their personal situation against COVID-19 there will be less uncertainty and in turn less stress. Before starting this hack we had very little idea how to take inputs from an HTML webpage. After some trial and error we found that JavaScript would solve our problems and we got moving. We built our webpage with HTML and CSS and provided functionality and interaction using JavaScript. We collaborated remotely through Visual Studio Live Share. Overall this project may not be super complex but we learned a ton (none of even knew JavaScript before 12:00 pm on Saturday) and can't wait to compete again if we are given the opportunity. We are proud of our website because we believe it is an effective way to provide specific guidance to the general public, and we believe with further development it could greatly alleviate uncertainty and mental health issues surrounding COVID-19. Creating this webpage provided us with a low risk medium to learn something new, and we had fun doing it!
Built With
css
html
javascript
Try it out
tjs-tohacks.github.io | COVID-19 Evaluation Survey | We created a digital COVID-19 survey to alleviate uncertainty during a stressful time which offers an ideal course of action, your likelihood of infection, and how at risk you are if you are infected. | ['Tate Hilliard', 'Jordan Osland', 'sam hepditch'] | [] | ['css', 'html', 'javascript'] | 60 |
9,892 | https://devpost.com/software/actuallyanagenda | Sidebar
New Task
Login Page
Task List
Inspiration
Our really bad task management.
What it does
Organizes tasks.
How we built it
Pain and suffering.
Challenges we ran into
Firebase
Accomplishments that we're proud of
Understanding Firebase
What we learned
F i r e b a s e
What's next for ActuallyAnAgenda
Built With
css3
firebase
html5
java
javascript
Try it out
github.com | ActuallyAnAgenda | A task organizer that uses machine learning algorithms to efficiently assign tasks for the user based off habits. The user interface is user-friendly and completely free! | ['Matthew Li', 'Eric Shim', 'yeahbennou', 'Nathan Lu'] | [] | ['css3', 'firebase', 'html5', 'java', 'javascript'] | 61 |
9,892 | https://devpost.com/software/the-virtual-cave-oifak7 | The Virtual Cave App on IOS
Target Images that You Can Choose
Inspiration
Since students have now transitioned to an online learning platform, we have decided to create an application that simulates an in-person classroom for the teacher to teach from, instead of using a video call approach. This would allow students to transition smoothly into this new environment. Also, since not physically going to school, decreases motivation to attend classes. This AR classroom will prevent the possible lack of structure in a student's day. Instructors can then post their pre-recorded lecture and students can then have the option to choose whatever exists in their desired learning environment.
What it does
The Virtual Cave allows instructors to upload recordings of their lectures and creates 3D simulation of a classroom for the courses that the students have enrolled in. The app will ask the students which target images they can find in their homes to link to the 3D models. Students have the option to choose whatever exists in their desired learning environment. Our app is built to be user friendly with a dashboard and forums for each enrolled course. Professors can choose when to host their class times and save recordings for the student to play at their own convenience. Not only does the server provide a gate-way for users to access their lectures in “real-time”, it has a scheduling interface to organize your homework, meetings, and other tasks.
How we built it
Our app was built using a UI kit, Glide, with the augmented reality portion of the app being built with the use of echoAR. 3D models can be chosen from any source, or 3D CAD designed.
Challenges we ran into
One main challenge we faced was the time constraint of having only 24 hours to complete a project. As well as it being the first time members are exposed to UI design. Thus, in this limited time-frame we tried to learn as much as we could while building our project. Moreover, we encountered difficulties using the AR interface, echoAR, since many image formats were not acceptable. In order to troubleshoot this issue, multiple large-files were downloaded in different paths. This reduced the amount of time we had to focus on smaller details and bugs. Nonetheless, the 3D image we used for the classroom desk and chairs could not be resized. Resizing was only available for video files. As a team, we were able to resolve most of these issues in the given time.
Accomplishments that we're proud of
Despite not having prior knowledge in the tools needed to build our project, we were still able to complete a working product. We learned how to use echoAR and UI platforms without any guidance, as a team.
What we learned
We learned how to build a mobile app and incorporate AR for the first time since none of our team members had prior experience in these areas.
What's next for The Virtual Cave
One feature our team initially planned to include was implementing an attendance tracker, for teachers to keep track and provide bonus marks if desired. The tracker would be embedded in a button before attending the lecture. However, we were not able to implement this feature due to time constraints.
Built With
echoar
glide
object-modelprogramming
ui
Try it out
ut8k4.glideapp.io | The Virtual Cave | Students have been forced to transition into an online learning platform. To simulate an in-person classroom, a mobile app,The Virtual Cave, allows stronger connections between teachers and students. | ['Rachel Zhang', 'Sylvia Tang', 'Emily Tou'] | [] | ['echoar', 'glide', 'object-modelprogramming', 'ui'] | 62 |
9,892 | https://devpost.com/software/fixate-0m2x8d | Example 1
Example 2
Example 3
Editted screenshot to fit better in a 3:2 ratio
Logo
Inspiration
Since the start of the covid-19 pandemic, procrastination has slowly crept its way into our lives.
I keep on watching anime and I find that i sleep at 3am due to my habit of procrastination. My friend Leo also has this problem when he browses Youtube for hours on end when he should be studying for math.
Existing web blockers block entire domains, but we sometimes also need to search up a few javascript tutorials or watch 3b1b, blocking the entire domain simply won’t work.
We needed a practical solution to this.
What it does
Fixate utilizes Machine Learning in the google cloud to analyze visited web pages to see its relevance to the user's “area of work”. Unrelated pages will be blocked so you can stay focused even at home.
Users can select how strict they want Fixate to analyze on three default settings, relaxed, normal, and strict.
It is important to note that personalized settings can be customized later on.
How we built it
We were reminded of this word association game powered by machine learning from Google experiments we saw a while ago
https://research.google.com/semantris/
and realized that’s the exact technology we need.
So we did some digging and found the underline model
https://tfhub.dev/google/universal-sentence-encoder/4
which is licensed under apache-2..0, perfect.
We are running the machine learning bit on a vm instance on the Google Cloud Platform to reduce load on the client side. The same python program also runs an HTTP web server, allowing communication with the client side chrome extension.
The chrome extension stores the user’s area of work, sending it to the web server with the title of whatever webpage you are on. The webserver then responds with a single number, which is how similar the two queries are.
The chrome extension then uses that information, along with the user’s strictness setting, to determine whether or not to block a site and if so, it will overlay a white background on top of the user’s webpage. The white overlay’s opacity can also change depending on if the site is slightly relevant or not relevant at all.
Challenges we ran into
The first challenge we ran into was tfjs. We just couldn’t get tensor flow to work in javascript for some reason. Our solution was to keep tensorflow in python and just move all the machine learning stuff into the cloud, which ended up working great.
We also had issues getting an SSL certificate, and we were not able to have that setup in time.
Accomplishments that we're proud of
Implementing Fixate as a chrome extension proved its challenge, and we are proud to have overcome this challenge after hours and hours of failed attempts.
What we learned
Some of the simplest ideas offer the best functionality, and even though Fixate is simple in nature, it truly has the potential to grow into a much larger platform and serve a larger audience.
What's next for Fixate
Fixate is planned to launch in the near future with a 3-month trial for users to test out. Users can purchase a permanent copy for a low affordable cost.
We also plan to implement a more customizable user interface to tailor to a wider audience range, offering specific settings depending on the need.
Further development can be focused on improving the accuracy of Fixate to suit more complex sites.
Built With
bootstrap
chrome
cuda
domain.com
gcp
javascript
python
tensorflow
Try it out
github.com
focuswith.tech | Fixate | We use Machine Learning to analyze visited web pages for relevance to the user's “area of work”. Unrelated pages will be blocked so you can stay focused even at home. | ['Kevin Huang', 'Leo Xie'] | [] | ['bootstrap', 'chrome', 'cuda', 'domain.com', 'gcp', 'javascript', 'python', 'tensorflow'] | 63 |
9,892 | https://devpost.com/software/fridge-sipxd9 | Inspiration
//
What it does
//
How I built it
//
Challenges I ran into
//
Accomplishments that I'm proud of
//
What I learned
//
What's next for fridge
// | fridge | fridge | ['Michael Lei', 'Junyan Ling'] | [] | [] | 64 |
9,892 | https://devpost.com/software/hear-me-out-5dmn81 | Inspiration
-We decided to make this website as most people don't have access to mental health during the COVID crisis
What it does
-it takes the users information and asks them what they want to do and how they are feeling and then matches them based on the data they entered
How I built it
-we designed the code on python 3 and then once the code was working we coded it with Tkinter to add a GUI and make the code more user friendly
Challenges I ran into
-we tried to make a chatroom but there was a problem with the firewall in windows that prevented it from running more than once
-we couldn't make a working GUI for the chatroom as it brought up another problem with the firewall, which we couldn't resolve because of time.
Accomplishments that I'm proud of
-We managed to create a chatroom on windows that worked for multiple client servers
What I learned
-I learnt how to use the Tkinter module to make a GUI, I also learnt how to use the sockets module to create a chatroom.
What's next for Hear Me Out!
-we would like to get this website to reach as many people as possible during the hard
Built With
python
Try it out
hearmeout.space | Hear Me Out! | A program dedicated to helping those with mental illness. | ['Lekh Shukla', 'Saffi Haider', 'Sartaj Aujla'] | [] | ['python'] | 65 |
9,892 | https://devpost.com/software/shopsafe-3id0uf | Team Logo (top) and App Icon (bottom)
Python code to access Google data (left) and outputted stores (right-bottom)
Our shopping treks inspired us: Having to wait 30 minutes to enter stores, or being nervous in a packed store.
Many small businesses have struggled to stay afloat during the COVID-19 pandemic as people are asked to stay home, and many refrain from shopping for fear of spreading or contracting the disease in crowded public spaces. As such, it is ideal to avoid long line ups and support local businesses as much as possible so as to support the economy as it slowly reopens. Our app, ShopSafe, provides users an optimal timeframe and location in which to go grocery shopping during the COVID-19 pandemic and shortly after.
We used Android Studio with Java, and Python to communicate with the Google Maps API and popularity data. The user selects a timeframe in which they are able to go grocery shopping and what they are looking to purchase. The app then uses its maps and popularity data to recommend grocery stores near the user and a timeframe in which they can shop to avoid long line ups, and therefore support social distancing measures.
None of us have experience with any of these, but we are learning quick on the job. While our app is not overly functional, our goal in entering this hackathon was to learn more about software development, hackathons, and the COVID-19 crisis. With regards to this goal, we were extremely successful:
Jonathan, who had never before worked with Android Studio successfully coded the back-end of multiple pages. Safia, who also had not yet worked with the software, was able to create a visually attractive front-end for these pages. Tristan created a Python code to interact with the Google Maps API and popularity data, returning a list of 5 stores in the area at which the user could shop. Finally, Joanna now understands how databases work; the difference between relational and real-time databases, SQL and non-SQL, how Google Cloud can be used to support similar software projects and how Firebase/Firestore can be implemented with various languages.
In the future, our goal would be to combine the different components of the project that each of us developped. We are proud of the project we've created and hope to pursue more hackathons in the future to apply our skills as they continue to develop.
Built With
firebase
google-cloud
google-maps
java
python | ShopSafe | For people buying groceries in the midst of COVID-19, Shopsafe uses Google data and user feedback to suggest shopping times and locations that promote social distancing and support local businesses | ['Jonathan Jaegerman', 'Joanna Roy', 'Safia Elkadiri', 'Tristan Robitaille'] | [] | ['firebase', 'google-cloud', 'google-maps', 'java', 'python'] | 66 |
9,892 | https://devpost.com/software/ar-covid-19 | Inspiration
What it does
How I built itasdf
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for AR COVID-19 | AR COVID-19 | We'll decide later | ['Joshua Cai', 'Leo Chen'] | [] | [] | 67 |
9,892 | https://devpost.com/software/meddonor | Inspiration
During the brainstorming process, we knew that we want COVID-19 to be our focus because even small contributions can make a big difference to this pandemic. We came up with many ideas that have not been implemented, would be useful, and most importantly, is realistic for the given time period. As mentioned in the challenge statement, we were asked to tackle a social issue that we believe could be solved through technology. After understanding the situation, we prioritized all ideas and decided to focus on scarce equipment in our healthcare industry. To ensure there is efficient distribution of resources (i.e. masks, gloves, thermometers, etc...), we are offering a solution where community members are able to donate their excess equipment to clinics or hospitals according to their needs.
What it does
MedDonor is a web application designed to work involving community members and those working in the health sector. Community members are able to donate the equipment to local clinics or hospitals as per their criteria and policies. On the other hand, health professionals are asked to use this application to report the equipment they have and the equipment they need. Community members are able to view this information and gain access to the place they wish to donate to.
How we built it
Challenges we ran into
Though we are familiar with many technologies, we decided to tackle this issue by exploring new tools and technologies. Our group is currently challenged to learn how to find nearby clinics and hospitals using Google's Place Api and to learn how to use Firebase for login authentication and RTDB for store relevant information such as list and quantity of equipment.
Accomplishments that we're proud of
As if now, we are proud as a group to be doing our best to accomplish this project not only for our learning but also for our community use.
What we learned
What's next for MedDonor
Built With
css
firebase
google-places
html
javascript
pandas
plotly
Try it out
tohacks--hetpatel14.repl.co | MedDonor | A plaftform to share scarced resources to our healthcare industry | ['Nandini Patel', 'Niraj Patel', 'hetpatel14 Patel', 'Nidhi Patel'] | [] | ['css', 'firebase', 'google-places', 'html', 'javascript', 'pandas', 'plotly'] | 68 |
9,892 | https://devpost.com/software/screamer | Inspiration
Being high school students, this quarantine was one of complete boredom, and though we could spend time finding productive things to do, we lacked the motivation to do. Inspired by this laziness, we decided to build something to help. We thought that if we struggled with staying on task, then others would as well. In order to motivate ourselves, we created a system to incentivize ourselves in a fresh and bold way—be productive or ruin our social lives.
What it does
BadHabits monitors the title of the open window (not the contents!) and stores how long you have spent on each site in memory. There is then an analytics page where you can check out how long you have spent on each application and the pie graph helps you visualize how much of a percentage of your time you’ve spent on each application. We’ve also integrated Facebook and Twitter APIs so that you can login. You can customize the blacklist of apps and the amount of time that is deemed “excessive”, and if your total use time over 24 hours exceeds that time limit, then your social life gets ruined :)
How we built it
We utilized the electron framework to easily create a GUI and to allow for easy exporting to a standalone app. The current focused window title is polled every second and stored inside a custom data structure for the best memory and computational efficiency. Every minute your total use time across all blacklisted apps would be computed through the data structure, and if it exceeded the time limit then Twitter and Facebook APIs that you have logged into will post embarrassing messages onto your feed.
Challenges we ran into
Integrating the electron framework with react was our first attempt at developing the GUI, however it failed due to difficulties having the two communicate with each other. Furthermore, working online rather in person made it a lot more difficult to collaborate with our teammates.
Accomplishments that we’re proud of
In the end we were able to make this project work, and that’s already pretty cool by itself. Working through a virtual hackathon and making a project of this scale was extremely tiring but rewarding. Furthermore learning a new framework and having to switch out all our React code required us to work more efficiently than ever to succeed.
What I learned
It is very important to have a solid plan before making an application. Since we did not think through all of our steps, we encountered many hardships that we could have else avoided, such as the difficulty in integrating React with Electron.
What's next for BadHabits
Next we would work on making the user interface more user friendly and have more API integrations. In addition, having more statistical analysis available for the user would provide a more refined and detailed app.
Try it out
github.com | BadHabits | Posts something embarrassing onto your public facebook if you play too many video games | ['Victor Zheng', 'Johnny Qu', 'Bert Sun'] | [] | [] | 69 |
9,892 | https://devpost.com/software/class-cloud-ztwc5p | explains Cloud Class's purpose
account registration
contact information
log in screen
page with all your registered classes
classroom
calendar
homework hand in
Inspiration
As high school students, our education has been heavily affected by COVID19. When our school first implemented the e-learning program, several students found it ineffective. Thus, we decided to create our own virtual classroom named Cloud Class. It was inspired by education apps such as Google Classroom and Zoom. With Cloud Class, we hope to tackle education problems, and enhance the virtual learning experience.
What it does
Cloud Class creates a virtual classroom for students and teachers. It requires students to create an account using their student number, provided by their school board. This ensures internet security and privacy. After they create an account, they can join classrooms using a code, similar to Google Classroom. In each of the classrooms, there is a work stream where the teacher posts any announcements, assignments, lessons etc. There is also a video calling section, a live chat section, and a homework hand in section.
How I built it
The website was designed using HTML and CSS. All the data about classrooms, classroom codes, and accounts are stored in SQL databases and combined into the website using PHP and JavaScript. The live-chat server was created using Minnit and the video-calling server was created using Talky.io.
Challenges I ran into
To begin with, none of us had much experience in web development. The most challenging part for us was figuring out how to create our own databases using SQL. Originally, we created the database and it was stored in localhost, meaning only one of our members could access the database. We also have worked on the project separately, with two people working on front-end and two people working on back-end. We thought that we could easily merge together our files using Git branching. However, we ran into several issues as some CSS, Bootstrap, and PHP files were not compatible with one another.
Accomplishments that I'm proud of
We are very proud of the fact that we created a successful log in and registration system. By using SQL, we were able to create a real-time server. Furthermore, we are also proud of our website design.
What I learned
From this project, we learned much more about web development. It was our first time using databases, as well as languages such as PHP and JavaScript.
What's next for Cloud Class
Cloud Class still has a lot more room for improvement. We believe that we can make our website a lot more proficient by creating more databases and faster servers. In addition, Cloud Class has a live-chat and a video-calling feature that we believe we can perfect. Rather than using pre-made sites, we can code our own to make it more suitable for our website's purpose.
Built With
bootstrap
css
html
javascript
php
sql | Cloud Class | Cloud Class is an virtual classroom that aims to provide students with the best learning experience during COVID19 | ['Tracy Xu', 'Yevan Sheen', 'Daniel Jiang'] | [] | ['bootstrap', 'css', 'html', 'javascript', 'php', 'sql'] | 70 |
9,892 | https://devpost.com/software/https-github-com-jm70-notesapplication | The user can enter a task into the text field and it will appear in the Tasks to Do and be added to the database.
Inspiration
To create an application for daily use to conveniently write down any ideas.
What it does
Takes in user input and appends to the database.
How I built it
The backend is done using the Google Cloud Platform. The user interface is simple HTML and CSS.
Challenges I ran into
The application is overwriting all inputs in the database which is fixed now.
Accomplishments that I'm proud of
I am proud of learning how to integrate Google Cloud Platform.
What I learned
Learning how to integrate a simple to-do list with Google Cloud Platform.
Built With
css
firebase
html
javascript
Try it out
github.com | Note Application | The Note application is a to do list created using JavaScript with Google Cloud Platform tool, Firebase. | [] | [] | ['css', 'firebase', 'html', 'javascript'] | 71 |
9,892 | https://devpost.com/software/activityfinder | A mobile app that suggests activities to do during the quarantine.
Built With
android-studio
java
Try it out
github.com | ActivityFinder | A mobile app that suggests activities to do during the quarantine. | ['Kelly Chen', 'Cindy Pham', 'Padena Rasouli-Baghban'] | [] | ['android-studio', 'java'] | 72 |
9,892 | https://devpost.com/software/contaminot | Inspiration
As public health officials repeatedly advise people to stop touching their faces in order to protect themselves against the new coronavirus, many individuals are starting to notice how often they do it and how difficult it is to stop.
Healthcare professionals have warned the public to wash their hands often and to avoid touching their faces, particularly their eyes and mouths, because severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus which causes COVID-19, can linger on some surfaces for hours or even days.
While it sounds simple enough, many people touch their faces multiple times a day with one study out of the U.S., which came out a few years ago, suggesting it could even be as often as 23 times an hour. We wanted to build a tool that mitigated the spread of the coronavirus by stopping one simple habit -- touching your face!
What it does
ContamiNot is a web application that detects and notifies when the user touches their face in order to prevent the spread of coronavirus. The facial recognition detector runs in the background so while you using your computer you will receive immediate reminders to put an end to this habit.
The website also keeps track of how frequently and at what time you touch your face. This data is organized and visualized for the user in the form of a graph. This will allow users to see the problem first-hand and hopefully reduce the habit of subconsciously touching your face.
How I built it
A series of images are grabbed from the video camera during training and assigned to one of two classes – touching or not touching. This is used to train the ML model which will then alert you if your hand is coming too close to your face.
The data visualizer extracts two variables from the facial recognition model -- how many times you have touched your face and at what time each face touch occurred. Using the Chart.js library we were able to graph this data to provide the user with valuable insights.
Challenges I ran into
The biggest challenge we faced was connecting and coordinating the facial recognition software with the data visualizer. Not to mention, brainstorming a project that would solve a problem related to the coronavirus took up a lot of our time. We went back on forth trying to fix problems that were beyond our abilities, however, by the end we were able to set our sights on a problem that was relatively simple yet important to address.
Accomplishments that I'm proud of
One thing we were proud of was our ability to implement the TensorFlow library to detect when a user's hand is near their face and when it isn't. This was our first time attempting to use an ML model and we were able to successfully train the model to complete our desired task.
What's next for ContamiNot
In the future we would like to work on the following features:
Improve the UI and layout of our website
Give users access to more meaningful data and find other ways to visualize their data
Tackle other simple problems that could prevent you from catching the coronavirus (e.g. how often you wash your hands)
Built With
chart.js
css
html
javascript
tensorflow
Try it out
github.com | ContamiNot | Prevent the spread of COVID-19 by reminding users to stop touching their face throughout the day and wash their hands. | ['Siddu Palaparthi', 'Ivan Mudarth', 'Andy Chen'] | [] | ['chart.js', 'css', 'html', 'javascript', 'tensorflow'] | 73 |
9,892 | https://devpost.com/software/shippie | home page
view orders
create an order
manage an order as admin
contribute to an order as a user
Inspiration
Want to qualify for free shipping, but hate the hassle of gathering orders from others to meet the required order cost?
Let us manage setting up your group order, while you sit back and relax.
What it does
Shippie is an online web platform that allows users to create group orders together. Use Shippie to save on shipping fees with friends, family, or maybe strangers - or manage multiple orders on your favourite sites.
Users can create an account, login, join other's group orders or even manage their own! Add items by URL, setup your cart, and get ready for checkout.
How we built it
Front-end UI: HTML, CSS, JavaScript
Back-end: Node.js, Express.js, Sleep Deprivation
Challenges we ran into
Organizing our giant data structure was a hassle. Merging front-end to back-end was also a mess.
Accomplishments that we're proud of
our working model!
figuring out our data structure
fabulous logo
What we learned
hackathons = terrible coding practices
sleep is important
we can't implement all of the features we want to in just a day :(
What's next for Shippie
We're excited to take our product to the next level. In the coming days, we're going to fully implement all of our features and host our site online.
Built With
css
express.js
html
node.js
Try it out
github.com | Shippie | Streamline group ordering with Shippie- add contributors to an order and manage with ease. | ['Shivani Chidella', 'Anton Liu', 'Jennifer Ye', 'Oluwatitomi Adebajo'] | [] | ['css', 'express.js', 'html', 'node.js'] | 74 |
9,892 | https://devpost.com/software/grocery-run-7wasp6 | Inspiration
In the current COVID-19 pandemic, our food banks’ needs are at an all-time high. At the same time, donating food and other necessities is difficult and potentially dangerous due to social distancing rules.
Our app aims to make donating to food banks convenient and safe, as well as to make sure each food bank is receiving supplies that they are low on
What it does
Grocery Run is an Android app where users can create shopping lists and will be recommended to add on items that their local food banks need the most at the time.
How we built it
We created an updatable database of grocery store and food bank data using Firebase’s Firestore and used Android Studio to create the app interface
Challenges we ran into
The main challenges we faced were collecting store inventory data and sharing a filled cart with the user. We decided that we would request API keys from large suppliers such as Walmart and Loblaw.
Accomplishments that we're proud of
What we learned
What's next for Grocery Run
Improved UI: We would like to make the user interface more intuitive. Our idea for the future is to make the list look like the notes app, where most people write their grocery lists. As well, we would like to show the user the pictures and costs of their options.
More API’s: We would like to increase the number of store apis on our app, so that users can find a greater variety of options.
Built With
android-studio
firebase
kotlin
Try it out
docs.google.com
grocery-run.bubbleapps.io | Grocery Run | Android app that allows users to make grocery lists and add on the items their local food banks need the most | ['Bahar K', 'Hannah Zhu', 'Riya Agrawal', 'Tina Sokhanvar'] | [] | ['android-studio', 'firebase', 'kotlin'] | 75 |
9,892 | https://devpost.com/software/xplicate | We would like to be considered for GCP's challenge and Domain.com's challenge.
We're aiming to a create tool that pierces through the veil of misunderstanding that presents itself as fear during a time like the COVID 19 pandemic. We wanted to create something that helped an average person understand actual and reliable sources of data.
(xplicate.tech's c-name is not yet updated but it exists :-) )
Xplicate:
analyze and develop (an idea or principle) in detail.
Our Inspiration:
There are researchers all over the world working hard to investigate the SARS-CoV-2 virus and the impact of this disease. Researching is a long process that can be broke down into 5 key steps:
Locate and Define Issue or Problem, Creating a Research Plan, Collecting Data, Interpreting Research Data, and Report Research Findings
Our goal was to simplify the first step (locate and define problem) in order to make researching faster. The usual researching process can feel long because of the difficult language associated with problems and papers. However, if difficult words were defined as we could read it would make this researching process a little more faster.
Majority of the information the common person uses to find out more about COVID-19 is second hand information. With a way to make any person more quickly understand research papers, teens and adults will not get information that is misleading and understand the true severity. By finding information from a first hand source it will not only provide accurate details, but also allow the common man to learn that there are also multiple solutions occurring in this direction.
Essentially our product is made for two main demographics: researchers that want to find solutions for COVID-19 more quickly and mislead people who need more accurate information regarding COVID-19
What It Does:
Xplicate is a webapp with one main function. A user can upload a pdf regarding any topic that they are having a difficulty comprehending. This pdf will then be given to a user with a list of the most difficult words that are included and their definitions. With the meanings of the words right next to the paper the idea is to provide a much simpler way of reading. The user can make an account if they would like to save their pdf and definitions.
How It Does It:
We built Xplicate with GCP technologies. That is we used google cloud functions to host all of our serverless backend code; that code was written in typescript that was then transpiled to javascript and run in the Node.js runtime. There were four main API's that we used in order to accomplish Xplicate's task. We used the Google Cloud Storage API to store the users PDF's after they uploaded them to our service. This was then passed into the Google Vision API to run OCR on the PDF and convert the document to a plain text format. That plain text could then be passed to the the Google Language API which gave us a salience statistic which we combined with a few other measures to determine the best words to define and explain to the user. We then use a variety of contextual techniques as well as the Wikipedia API to get palatable definitions of difficult concepts.
Challenges We Ran Into:
This whole project was a couple of levels higher in complexity than what either of us had attempted before. We were trying something new with using Google Cloud and as a result ran into a lot of just basic configuration and up and running issues. We were upset that our cloud functions couldn't be completely finished by the end of 24 hours but we did get to learn about debugging Node.JS environments.
What We Learned
We learned that its very important to come up with a proof of concept of your final idea before completely diving into it. Even though our cloud functions aren't completely done, since we were able to make our proof concept we can show that our idea really works and we know the general direction we want to take it as we continue it. We learned that its a lot more important to learn about the issues that you run into rather than just brushing them off and ignoring them.
What's next for Xplicate:
We plan to continue to develop this project further! Eventually we would like to train the AI enough for it to be able to summarize difficult documents into simpler terms. Defining hard words was the first step in doing this, but Xplicate has an immense ability to grow.
Built With
google-cloud
google-cloud-firestore
google-cloud-functions
google-cloud-natural-language-processing
google-cloud-platforms
google-cloud-vision
javascript
optical-character-recognition
python
typescript
Try it out
xplicate.tech | Xplicate | A quick way to break down a difficult to understand text and really understand it. | ['Aidan Handa', 'Bhavika Kagathi'] | [] | ['google-cloud', 'google-cloud-firestore', 'google-cloud-functions', 'google-cloud-natural-language-processing', 'google-cloud-platforms', 'google-cloud-vision', 'javascript', 'optical-character-recognition', 'python', 'typescript'] | 76 |
9,892 | https://devpost.com/software/veracharity | Before we started planning for this project, we realized that there are many organizations that are hosting charities and initiatives to help bring positivity during this time of COVID-19 or any other issues. But the problem was, there isn’t one platform that provides all these opportunities/charities out there and we all agreed that it can be hard sometimes when finding for a charity to donate to or events we can join to keep entertained and to continue learning. Especially as a highschooler looker to explore different fields.
That is why we thought of VaraCharity! It is a website that Merges all charities, initiatives and world updates into one easy, accessible place to find. So whenever you are feeling generous and want to donate to a cause. You can go on VaraCharity to find the best initiative you support. The website includes opportunities and charities filtered into international, countries, and cities. Due to the whole Covid-19 pandemic and other global challenges, we also included a section where people can share their stories through reports and donate to Covid-19 related charities. When you are feeling bored during quarantine and want to meet some cool people who have the same interests as you, VaraCharity can be here to show you all the events out there at the moment.
What it does
A virtual tour . . .
Home page;
features an "about us" section and 3 buttons with the options "international", "national", and "cities"
from here if international is clicked . . .
**International; **The user enters into a page showing the different opportunities and charities they can donate to on an international scale
if national is clicked . . .
**National; **The user enters into a page showing different countries in button format, the user clicks into one of them and categories in button format such as "education", and "health" open up. The user than clicks into one of these categories, for example, "health", and organizations and opportunities related to that country open up
if cities is clicked . . .
Cities;
The user enters into a page showing different countries in button format, the user clicks into one of them and provinces/territories/states for that country open up in button format ("Ontario", "Quebec"). The user then presses one of the options, for example, "Ontario", and a page with opportunities, and organizations opens up. The cities page features a map of the different locations of the charities/organizations and a table of contents section on the top to easily navigate through the different categories.
on the main menu task bar;
if Issues/Reports is clicked . . .
*
Issues/ Reports; *
(news report)... recent COVID-19 update/reports
if COVID-19 page is clicked from main menu
COVID-19;
Leads to tons of initiatives led by different organizations funding/improving the COVID-19 pandemic. At the bottom, it also features the reports written by users about their experiences during quarantine and their opinions.
How I built it
Google sites
if overhead banner is clicked;
Overhead banner; takes you to the COVID-19 page, this banner and COVID-19 page will change overtime to address different issues around the world
Challenges I ran into
Figuring out how to link pages, use buttons, use table of contents, and add the map.
Accomplishments that I'm proud of
The website flows well and is organized. Many subpages and buttons were added so the user could easily navigate the site and find what they're looking for.
What I learned
Gained familiarity with google sites, and learning to design maps.
What's next for VeraCharity
Expanding our website to include all the major organizations on an international, national, and city-wide scale. Adjusting the covid-19 pages to feature any major events going on- aid with natural disaster, etc.
Education section; features webinars to educate people on social issues
Built With
google-sites
Try it out
sites.google.com | VaraCharity | Merging all charities, initiatives and world updates into one easy, and accessible place. | ['Cindy Cao', 'Michelle Ko', 'Audrey Zhang'] | [] | ['google-sites'] | 77 |
9,892 | https://devpost.com/software/exameyes | Inspiration
Schools and Universities across the world have been shut down as a response to the COVID-19 outbreak. As a result, all the procedures have been modified to be conducted remotely. One of the major subsequently arising concerns has been of devising a means of assessing the students on their course material remotely, while also ensuring the system is fair and does not give undue advantage to any of the students. The major obstacle with this regard has been a lack of resources that enabled the supervision of all students to ensure no external aid is used by a student and all students attempt an examination under similar conditions.
What it does
Our team has developed a solution to tackle this issue. We have come up with a design that would enable automated proctoring of a student writing an examination remotely.
Our design is in the form of a software that ensures that students remain in front of the computer. This is achieved by tracking the eyes of the students. The software will be designed to accommodate washroom breaks and small snack breaks.
The key differentiating factor of our design is that it does not capture videos or photographs, thus ensuring the privacy of students.
How I built it
ExamEye uses the Open Computer Vision library on Python to track an exam-taker's eyes to determine whether they are using unauthorized aids. The program allows for specifically timed-breaks which can be intiated using the web portal at
link
The portal works by using the buttons to update a file with the number of break-minutes. This file is downloaded by the python program and the program pauses for the specified number of minutes, allowing the exam-taker to take a break. After the break, the program calls a script located on the ExamEye server which resets the file with a value of 0, thereby resuming the exam.
Challenges I ran into
Python and web integration was something that none of us had experience with. Additionally, our host of choice, InfinityFree was down when we were trying to set it up. Because of this, we had to use an alternate host to place our web portal(000Webhost). Using this was somewhat more complicated than InfinityFree.
Accomplishments that I'm proud of
Our first time integrating a python script running on a local machine with a server on the web was successful! This opens up a world of possibilities for interacting with information on the web, that constantly changes.
What I learned
We learned one way to integrate code that is running on our machines with information available on the web. We also learnt how to scramble and pivot in case of unforeseen circumstances. In our case, one of tea member had to attend to urgent family matter. This member was instrumental in implementing and debugging the main code and was the only one proficient enough to create programs with Open Computer Vision in Python. Another one of our members had to make sure the code worked and integrate it with our web server.
What's next for ExamEye
This project has the potential to be adapted to a multitude of applications. Using its eye-tracking ability, the software can be further developed to collect data about the seating posture of users. This data can subsequently be used to provide medical advice and improve the health of the users.
Another major potential application is by developing the software to analyze and approximate the best locations for online advertisements, on the basis of the movement of the eyes of the user. This can also be utilised to optimize the placement of important content across websites.
Built With
elementor
opencv
php
python
wordpress
Try it out
exameye.000webhostapp.com
github.com | ExamEye | Reimagining Remote Exam Proctoring | ['Archit Bhargava', 'Hetav Pandya', 'Kushagra Goel', 'Arnav Gupta'] | [] | ['elementor', 'opencv', 'php', 'python', 'wordpress'] | 78 |
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