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10,009 | https://devpost.com/software/rangpur-tree-market-bot | Rangpur Tree Market.
Inspiration
○The inspiration for creating the Tree Market was to create a tree sell through messaging. We thought from some real experience because we are the new generation most of the time on social media, so we wanted to create a tree market from the idea of how to spend this time sell something new.
What it does
Here are some of the benefits of using a tree market:
○ All the information about all the trees is known.
○ Easily goes to the tree.
○ The care of the tree is known.
○ All kinds of trees are known
○ The price of the tree is known.
○ Tree gardening is known.
○ Healthy vigorous trees can be bought without it.
○ Whether sitting at home online goes to the tree.
How I built it
We built Rangpur Tree Market by using Facebook-Messenger API with Chatfuel JSON-API, Quick Replies and Integromat.
Challenges I ran into
○ Our first challenge was to think about how to improve online tree market by messenger.
○ The major challenge was to control the file,image and photo using Chatfuel's json-api and use the Information function to score.
○ to know callact information fo sell tree
.
Accomplishments that I'm proud of
○.Got ideas about some new technology while making it.
○ Working on two new platforms in a short period of time has made it really satisfying.
○ This is a great chatbot because It is like we have brought online tree sell to another level.
What I learned
○ Learned how to make a learning platform through Facebook Messenger Bot.
What's next for Rangpur Tree Market Bot
○ How to sell world trees online.
○ Information on all types of trees can be enriched
○ Buyers provide all the facilities themselves.
○ Online education of tree keeping.
○ How to Tree sell can assignments and get feedback.
Built With
chatfuel
coffee
coffeebean
Try it out
facebook.com | Rangpur Tree Market Bot | My bot will help people to give tree sales information call link. | ['Abu Hussain Md. Jayed'] | [] | ['chatfuel', 'coffee', 'coffeebean'] | 114 |
10,009 | https://devpost.com/software/covidsolution | Image of that chatbot
Inspiration
I heard of this hackathon from Facebook Developer circle Dhaka's group post.Then I became excited and thought to build something new.The brutal Corona virus pandemic just ruined everything.People are scared and stressed,That is why I built it to make their life easy .
What it does
My messaging solution COVIDsolution will help people in this brutal corona situation with the right information they need in everyday life.From symptom checking to shopping,it will help users.It is very convenient because it works like an app.Here ,users can know about FAQ's about corona,check about symptoms,can Donate,buy groceries,foods,clothes,paying bill online links etc
How I built it
I built COVIDsolution with ChatFuel.
Challenges I ran into
Firstly, I didn't know how to build chatbots,theni Learnt it from Facebook Developer circle Dhaka's webinar
Accomplishments that I'm proud of
It is running smoothly and it might help people.
What I learned
I learned how to design and build chatbots.I learnt how to think about an product,how to implement ideas
What's next for COVIDsolution
I want to scale it with AI and NLP on a larger scale .It can be a stanfalone platform as well.
Built With
chatfuel
Try it out
m.me
m.me | COVIDsolution | My messaging solution COVIDsolution will help people in this brutal corona situation with the right information they need in everyday life.From symptom checking to shopping,it will help users. | ['Bikon Kumar Das'] | [] | ['chatfuel'] | 115 |
10,009 | https://devpost.com/software/agent-rona | Inspiration
I notice that if I want to search about coronavirus on a specific country, I need to get a browser, search for a country. If I want more detail, I need to go a certain website. On John Hopkin's website, I would need to scroll through a long list of countries to find the one I want. I find this to be very inefficient. That's why I built Agent Rona chatbot so that we can get information of any country with just a few words. Moreover, it sits in our most commonly used app - Facebook Messenger.
What it does
With Agent Rona, you can search "number of cases in a country", "analyze a country", "get top n countries".
How I built it
I use DialogFlow to handle the communication between Facebook and my NodeJS server. Also, DialogFlow helps with parsing the user intention given an utterance and send the corresponding request to an end-point on our NodeSS server. As for the Coronavirus data, we periodically get them from
John Hopkins University
.
Challenges I ran into
Some challenges I found when designing the conversation experience are to make it natural for user. I did the a few testing with friends and found that they do not aware of the capability of this chatbot. They tend to ask very complex question that human would ask to each other. I tried to play around with welcoming message and fallback message. However, it's still not very friendly to some audiences. Then, I discovered quick reply on Facebook. I found it to be very intuitive and can easily enhance the experience of using Rona chatbot. For users that are very unfamiliar with chatbot, they can use the buttons. For those that want to challenge the chatbot and try with complex query, our system can still be able to handle that as long as it falls into one of our intents.
Accomplishments that I'm proud of
I'm so glad that I made this chatbot on Facebook messenger platform where it can reach many of my friends. I am so delighted with my conversation design. I notice even with users who are new to messenger, they can understand the main uses of the chatbot very easily with "quick reply". As for the existing users, they can try around with different utterances. If it does not match with any intent, they will get proper feedback as well as alternative options to ask.
What I learned
Designing a chatbot is really challenging task both in the coding and design aspect. It's important to handle the diversity of utterances to reduce users frustration. With a little bit of buttons (not too much), it could guide new users and take the experience to the whole new level.
What's next for Agent Rona
There are 2 directions:
(i) The number of cases in US is still pretty high. Next, we want to add information of each US state to the user.
(ii) Create a chit-chat companion so that it could help people reduce their boredom of staying at home (We still consider whether to integrate this with Rona, or to create another chatbot for this purpose).
Built With
dialogflow
docker
node.js
Try it out
www.facebook.com | Agent Rona | A simple chatbot to deliver statistics on Coronavirus with just a few words. | ['vitouphy SquareBolt'] | [] | ['dialogflow', 'docker', 'node.js'] | 116 |
10,009 | https://devpost.com/software/image-service-bot | Image Service Bot
Inspiration
Building bot with messenger is amazing. It has lot of features and capabilities. I decided to make Image Service Bot to can combine various types of "image processing" , "image coloring" , apply "deep learning techniques" to images and present it to the users so that the can use and learn easily.
What it does
Image Service Bot takes images from users and present a new image as per service chosen by user.
How I built it
I built it using Python and Flask and hosted it on Heroku to receive back messages. I used DeepAI API to provide image service and integrated it with messenger to serve users with ease.
Challenges I ran into
Firstly , combinig api with messenger was tricky. I have to manage flow of data precisely so it can be present to all functions which needed it. Also image extension .jpg was making the work slow. At the end its working fine.
Accomplishments that I'm proud of
I combined Api's with messenger to build a service that can be used by user's.
What I learned
I got to know a lot of python stuffs , how to write json data , how Api works, bulding bots with messenger.
What's next for Image Service Bot
Build free version and paid version of it.
Integrate payments.
Built With
deepai(api)
flask
messenger
python
Try it out
www.facebook.com
github.com | Image Service Bot | Performs image processing and shares knowledge about it. | ['Sam J'] | [] | ['deepai(api)', 'flask', 'messenger', 'python'] | 117 |
10,009 | https://devpost.com/software/coursehub-online-courses-with-certificates-bot | Get started
Type course information
Click computer science course information
Chose the web development course
Enroll and get resources
Participate in quiz
Participate in quiz
Earn Certificate
Rate
Inspiration
The inspiration for making the coursehub was to form a learning platform through electronic messaging.We actually held a deep researched about what bot can do in education. We tend to think from some real expertise as a result, we are the new generation most of the time on social media, therefore we wanted to make a coursehub from the idea of how to spend this time learning something new.
What it does
Learning capabilities range vary from person to person, However, we see that our educational institutions teach everybody in one place. It may be difficult to teach everyone.The solution in this situation can be a platform to educate through messenger bots. We can consider a bot where absolutely everyone can get entry to the learning revel in from anywhere.
○ Learners will be able to know the course information, and what courses are available here.
○ The learner can enroll in the course of his/her preference from within the available courses.
○ The course hub will provide some resources after enrolling in the course. After completing the resource practice, the learner will be able to verify himself by participating in the quiz.
○ After completing the quiz, the learner will get the course hub certificate.
How we built it
We built CourseHub by the use of Facebook-Messenger API with Chatfuel JSON-API, Quick Replies and Integromat.
Challenges we ran into
○ Our first challenge became to think about how to enhance online courses through messenger.
○ The major challenge was to control the file, image and video using Chatfuel's json-api and use the Math function to score.
Accomplishments that we're proud of
○ Working on new platforms in a short time period has made it really satisfying.
○ Got ideas about a few new technology while making it.
○ This is an incredible bot because It is like we have introduced online course learning to another level.
What we learned
I learned a lot a things from this hackathon. Facebook-Messenger is a great Platform to interact with others.
○ Learned the way to make a learning platform through Facebook Messenger Bot.
○ Learned the way to applicable solution using Set Up AI tab inside the dashboard.
What's next for CourseHub: Online Courses With Certificates Bot
○ Allow learner to upload images so that we can add images to the certificate and keep alternatives within the editable.
○ Incorporate natural language processing to make conversations greater lively.
○ Reward points for completing the quiz
○ Learners can submit assignments and get feedback and add several new features based on Facebook Instant chat plugin.
Built With
chatfuel
facebook-messenger
integromat
json-api
Try it out
m.me | CourseHub: Online Courses With Certificates Bot | CourseHub, a distance learning messenger bot you can learn from afar. | ['Mahabuba Akter Mursona', 'Sarmin Jahan'] | [] | ['chatfuel', 'facebook-messenger', 'integromat', 'json-api'] | 118 |
10,009 | https://devpost.com/software/medibot-a-virtual-receptionist-for-hospital | Medibot
PROBLEM:
Have you ever waited in the line just to talk to a hospital receptionist?
Maybe you just want to know about a doctor's schedule, or about a medical test, even sometimes we need to knock the reception just to check the price of a test.
In most cases, we have needed a 10 to 20 seconds conversation with the reception regarding our query. But we are to wait 10 to 20 minutes in the line to get the chance. Pretty annoying, right?
In this year of 2020, there is a pandemic consternation named COVID-19. It has spread around the planet, sending billions of people into lockdown as health services struggle to cope. It makes the hospital one of the busiest places on earth. As a result, people with other diseases are not being treated well. Even these people are having trouble getting a test result. Isn’t it a pity!
People are reluctant to visit the hospital regularly because most of the hospital is treating coronavirus patients and there is a high risk of getting infected by this highly contagious virus. Hence a technological revolution is needed that can make people do most of the medical work staying at home.
SOLUTION
We are a group of University students from Bangladesh has come with a simple solution. We believe that if we can simplify the flow of information, this suffering can be reduced.
Facebook has simplified our life in many ways, now we want to use the power of Facebook to facilitate the healthcare system.
We are Launching Medibot-A type of messenger chatbot which provides all-out information of a specific hospital.
Nowadays almost every established organization has an official Facebook page. Our plan is to incorporate a well-designed chatbot on the Facebook page. So that the patients can get necessary information by just knocking the AI-enabled chatbot instead of the receptionist.
Medibot is going to be the virtual receptionist of every patient where they can communicate anytime without waiting in the line.
The ultimate goal: Exponentially providing medical services virtually.
Target: wipe out the suffering of medical treatment.
Inspiration
There's a well-considered reason that the healthcare industry is doing its best to banish the term "waiting room." Every hospital knows that the "reception area" or even "welcome desk" is a more thoughtful and sensitive term. Unfortunately, the label doesn't do much to improve the actual environment.
For customers or clients or patients, waiting is a serious dynamic and usually a negative business factor throughout the service industry. Nobody likes to wait in the hospital because it’s not the same as waiting for a table at a restaurant.
So the first and best anti-waiting solution is to simplify the flow of information. Suppose if I have the latest information about a doctor’s schedule, I will go to the hospital at an accurate time and can accomplish my work without being waited. Also, if you get that real-time information in the messenger chatbot, I will not make a gathering at the reception.
Our goal: To create an anti-waiting environment in the hospital and simplifying the flow of information.
What it does
Medibot is a messenger chatbot consisting of many features in it. Such as_
Patient registration
Ambulance service
Medical test info
Doctor’s appointment and info
Cabin booking
ICU service
Test report
Diet chart
Diabetics check-up
Covid-19 info so on
In a further development, we will add more features to it.
How we built it
We have built the whole thing keeping the Messenger platform in mind. This has the efficiency to serve every one of all stages.
We have gone through three different sites to build it. Dialogflow, manychat, Chatfule are three websites we have gone through. But due to having some difficulties in Diagflo and Chatfule, we have finally used a site “Manychat” that had messenger permission so we can easily demo. It will be engaged in your service 24 hours a day. As we previously mentioned that is can do patient registration, Ambulance service, Medical test info, Doctor's appointment and info, Cabin booking, ICU service, and so on.it can give access to the registration form. it can chat with you for its inner built-in AI function. Giving you calling number and many more.
Challenges we ran into
One of the earliest challenges we have faced is transcending a hospital's website in terms of service. The question was like, Whatever you are providing can be provided by a well-designed website, why should the hospital use a messenger chatbot. We faced the challenge of these points.
It is easy to open a Facebook page than a website
The website is costly but the Facebook page is free.
Creating a well-designed chatbot is way cheaper than the website.
And the last but not the least, Messenger chatbot is user-friendlier than the website.
When I first started working I went a long way in doing a lot of work to Dialogflow .but I had to face a much bigger problem at the last minute to make it published. Then I start working Chatfule. But when I started working there, I could not find enough options to make a chatbot according to my plan. That's why I worked on manychat later.
Having a basic science of technology, we also face many kinds of technological problem, like for this chatbot, I have learned to work on three types of websites.
Other technical challenges we faced were,
Since we were building a robot with hospital management. So I like to do a lot of research on what happens in a hospital called Hospital Management. We have made many confusing mistakes in collecting this data. Our recharge needed to be very perfect because our bot will answer all your questions 24 hours a day.
Accomplishments that we are proud of
We have successfully created a social medical service system. through this, there will be a hassle-free direct relationship between hospitals and patients.
Doing anything good for the medical sector is like welfare to mankind. We're proud of having built a chatbot that can decrease the hassle of a patient for getting information in a busy hospital. We are saving their valuable time and energy. And we all know, in the hospital, just a single second can save someone's life.
What we have learned
Our team is consisting of 3 members. And all of us are first-time hackathon-ers. We all know how is Facebook and how Facebook pages work. But before this hackathon, we had no idea that a messenger chatbot can be taken to this level. We learned completely new technologies in a short period. We learned how to use Dialogflow, many chats, Chatfule, and many more thinks
What's next for Medibot-A virtual receptionist for hospital
The current version of the medibot is just a trailer of an upcoming blockbuster.
We would like to work on the Ai to add more features on it
We want to incorporate this bot into the Facebook page of every medical institution.
the platform will be transferred into a telemedicine site with more features in the future.
Built With
manychat
Try it out
www.messenger.com | Medibot-A virtual receptionist for hospital | Nobody likes to wait in the hospital because it’s not like waiting for a table at a restaurant.The first and best anti-waiting solution is to simplify the flow of information. Medibot is doing it. | ['Akibul Haque', 'Ali Newaz Joarder', 'akil akhtab rezoan'] | [] | ['manychat'] | 119 |
10,009 | https://devpost.com/software/social-account-security | Social Account Security
Inspiration
Many hacker hack our account and we have to face problem. This inspired us to make this presentation.
What it does
Help others to secure their social accounts.
How we built it
First we create a facebook page. Then we saw video how to create chat bot. Then we divide our work for Social Account Security. And we research to secure social account then we add it to chat bot.
Challenges we ran into
⚫Have to learn how to create chat bot.
⚫Open social account and Learn how to secure them.
Accomplishments that we are proud of
We can help others.
What we learned
Teamwork
What's next for Social Account Security
How to recover account after hacking.
Built With
manychat
Try it out
www.facebook.com | Social Account Security | We face many problem in using our social account. Hackers hack our account and took many important information. So this project will help you to make secure social accounts. | ['Afroza Riju', 'Tasnim Tanha', 'Hazera Nabin'] | [] | ['manychat'] | 120 |
10,009 | https://devpost.com/software/superwomen |
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SuperWomen
Inspiration
The crime against a woman is increasing day by day and it developed fear in the minds of people globally. This situation lets women’s confidence level and makes them weak and submissive. To reduce the fears of people, we have planned to design an app that is able to help a woman move around with confidence and security. We hope that this app's features will protect a woman from danger.
What it does
SuperWoman is an app that delivers almost all the necessities of a woman in need. The primary three features of this app are:
Legal rights of woman: This feature provides all the legal information about different crimes against women.
2.Psychological Help: We considers also the mental wellbeing. Here, users can deal with their mental outbreaks with the help of this.
3.Location Sharing: The app lets you specify how long you want it to track your GPS location until you check-in from your intended destination. Alternatively, in case something bad happens, you can share your location with contacts.
Other features also include the woman sanitization, all the contact details of public service (Police, Doctors) in any emergency. If the user stuck on a highway, it also provides all the details of the nearest highway police station.
How we built it
We build it with days of effort with chatfuel. Automation, Ai training all needed hours of perseverance.
Challenges we ran into
We ran into some problems while making interactive, but now we are assured that it will serve its purpose.
Accomplishments that we're proud of
Our chatbot was integrated with a mobile application successfully which was developed by us.
What we learned
I learned to work with a chatbot. About Ai question setting, quick replies. I come to know different aspects of improvement in women's health and safety. I wish to work on this further. In addition, working with Video, PowerPoint, etc. these are other areas of learning.
What's next for SuperWomen
1) Arrangement of helping in an emergency from "close contacts" or "friends nearby".
2) Job recruitment possibility enhancement for women.
3) Special doctor's suggestions/advice related to women's health.
Built With
chatfuel
Try it out
m.me | SuperWomen | It is a utility tool for Bangladeshi women, a complete guide to women's safety in their own hands. | ['Natasha Tanzila', 'Sarmistha Sarna', 'Aditi Dhali', 'Shinthi Tasnim'] | [] | ['chatfuel'] | 121 |
10,009 | https://devpost.com/software/covid-19-bot-37uko8 | Inspiration
I thought of making a chatbot, that would be useful for the user. Then I got the idea of making a COVID-19 bot as the total wold is in a pandemic situation of coronavirus.
What it does
This bot helps you with
Taking your self-assessment test of coronavirus.
Answering the FAQs of the user and educate the general public about Covid-19 spread and how it can be tackled by answering your questions.
3.Tracking the cases over the world by country wise.
How I built it
I Built this bot by using Zeva Platform
link
. This is a company that provides innovative machine learning products and services on trusted platform.
Challenges I ran into
I faced challenges in finding APIs get the COVID-19 cases data all over the over. At last, I found them in the postman documenter.
Accomplishments that I'm proud of
I made this bot within the low time.
What I learned
I learned JavaScript language and also making API requests
What's next for COVID-19 Bot
I'm planning to add another use case that is when bot finds any COVID-19 patient around you it notifies you. So that you can be able to maintain social distance.
Built With
javascript
restapis | COVID-19 Bot | This bot helps you with your self-assessment test of coronavirus, Answering the FAQs of the user, and Tracking the cases over the world. | ['Zeva.ai Chatbots'] | [] | ['javascript', 'restapis'] | 122 |
10,009 | https://devpost.com/software/medi-helper | Medi Helper
Inspiration
How might we rapidly inform and empower communities around the world to stay safe and healthy during the COVID-19 outbreak as well as learning new technology with solving the real life problems is our inspiration.
What it does
Peoples are spending a huge time in messenger nowadays. Besides, In Bangladesh many people consider free Facebook instead of buying internet . It will be so helpful for them taking services by our bot & live chat with our agent while using free messenger service.Furthermore, It provides emergency medical services , emergency blood information , emergency ambulance info, emergency ICU info , emergency drug supplies ,physical and mental health support & information about Covid-19 . In this way people can easily ensure their health care and owner of those services can increase their business.
How I built it
We built it using chat-fuel. we made blocks , then connected them together. Also , we added there live chat feature to get more easy response .
Challenges I ran into
We entered the hackathon closer to the deadline, so we were not be able to implement all of our ideas into the Chat Bot.
I faced a network problem that was very much slow connection. Facebook page was not loading.It has been repeatedly disconnected.This is the first time we used chat-fuel . Couldn't connect API.
Accomplishments that I'm proud of
When we made that bot, it looked so good. I didn't know how to make these bots for so long. Eventually I made one by myself.
What I learned
I learned how to make Chat-bot , how to use Chat-fuel.
What's next for Medi Helper
We will supply more data to user by using API later . We will improve our drug supply system commercially further. We will launch emergency doctor appointment service. Through using AI, bot will give information about the visible minor diseases of the user.
Built With
chatfuel
Try it out
www.facebook.com | Medi Helper | My bot will help people to get their medical emergency service's in a easy way. | ['Tuhin Chowdhury', 'Fareea Mehjebin'] | [] | ['chatfuel'] | 123 |
10,009 | https://devpost.com/software/emergency-room |
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Emergency Room, one place to find all your emergency services.
Inspiration
People are facing problems finding emergency service contacts as there a lot of resources. So having a chatbot for my locality for finding their necessary details of emergency services can solve this problem. So this thought has inspired us to develop this chatbot.
What it does
Our chatbot is the one place where you can find your necessary emergency service details in few steps. It provides the authentic contact details of emergency enforcement service, medical service, and others within a few seconds by collecting your locality.
How I built it
My team has built it with the help of Chatfuel.
Challenges I ran into
We have faced some technical problems while building the chatbot. We wanted to use Artificial Intelligence and GPS for location tracking and providing the information more broadly.
Accomplishments that I'm proud of
We have solved a real problem. We can now help people getting their emergency information more efficiently.
What I learned
We have learned about a new technology. We have learned how easily and efficiently we can contact to people with the help of chatbot.
What's next for Emergency Room
We will develop Emergency Room with some extensions. We have plan to use artificial intelligence to locate one user accurately and give them their needed information as accurately and fast as possible.
Built With
chatfuel
Try it out
m.me | Emergency Room | One place to find all your emergency services. | ['Rasha Rabbani Ador', 'Mohosin Islam Palash', 'Chowdhury Nazmuz Sakib', 'Samia Rahman Misty'] | [] | ['chatfuel'] | 124 |
10,009 | https://devpost.com/software/1-23vr79 | Facebook Messenger Advert
Whatsapp chatline Advert
Inspiration
The idea came into being after death of a very good friend, who committed suicide in 2017. We were grown up together, and we were friends since 18 years. One fine day, I came to know that he committed suicide. This made me realize that one person, who is my friend since many years, still he did not have the courage to share anything that was disturbing him and he committed suicide. If one person, could not find anyone to share anything, how many people would be out there who are dying silently, because they dont have anyone to communicate to! Death of a very good friend helped me in making something that would help people to communicate effectively.
What it does
Established in 2018 March, Baat Karo – Talk because we listen is a free Islamabad Based community service, that focuses on suicide intervention, prevention, awareness, and education. We provide help and hope through online chat, college campuses, and high school events and other educational programs. Depression is treatable.
How we built it
We started off in March 2018, with a WhatsApp based chatline, and now, we are offering free chat-based help through our website & Facebook page. We are using Facebook family of apps to provide communication opportunities to people who are suffering from depression. We built our chat widget in 2019, and shifted it on website. The chat widget is used to connect people with professionals, and they provide them free help!
Challenges we ran into
The first challenge we ran into, was convincing people that its okay to talk, its okay if you are depressed, and a team of volunteers is there to listen to you, and to help you! This was the biggest challenge to fight the taboo attached with mental health and depression.
Accomplishments that we're proud of
We have served more than 10,000 people so far, through our website, through our Whatsapp chatline, through our Facebook page and through our chat widget. Because of this hackathon, we developed our messenger bot, and we are still working on it.
What we learned
Its okay to fail, but the happiness you get, when you help someone coming out of their depression is definitely eternal.
What's next for Baat Karo - Talk because we listen
Baat karo is working to save as many lives as we can and to bring hope to those who are effected by depression. The next goal is to work and establish this as a national forum in Pakistan, to help people. The mental health of people of Pakistan is already deteriorating & people are not willing to accept it as a disease. We are getting messages from all over the world now, but what we are working now is to make people realize that suicide is preventable. We believe the most important thing in a person’s life is “peace of mind”. Depression can be devastating. Jobs come to an end, relationships break down and lives can be lost, all resulting in depression. That’s why the work we do here at Baat Karo is so important – it not only changes lives but saves them.
Built With
sails.js
Try it out
www.baatkaro.org
web.facebook.com | Baat Karo - Talk because we listen | Effective Communication means to cure depression | ['Fahad Malik', 'Bilal Tasawor'] | [] | ['sails.js'] | 125 |
10,009 | https://devpost.com/software/color-code-breaker | Inspiration
When I first start programming few years ago, the first app I deployed was the famous game MasterMind. So I wanted to recreate using Facebook's quick replies feature. When i saw the quick replies tutorial where you choose a color I was like "OK I HAVE to build mastermind again!"
What it does
You have 10 tries to figure out the correct 4 color combination. Each color may appear more than one time and one color may not appear at all. Every time you select the 4th color the BOT will reply telling you how many correct colors you have in right position and how many correct colors you have in wrong position.
How I built it
I used .NET Core 3.1 Web API hosted on Azure
Challenges I ran into
It was difficult to debug the bot on my localhost but I managed to do it using ngrok app
https://ngrok.com/
I think you should promote ngrok or any other similar app so newcomers know how to debug their bots easily.
Accomplishments that I'm proud of
I was able to build it in just a few hours without prior knowledge of Facebook Bot API or Facebook Pages
What I learned
I got familiar with Facebook Bot API and Facebook Pages
What's next for Color Code Breaker.
Maybe I will add difficulty levels, right now the color code combination has 4 colors but in the future it can have more levels with 5 colors or 6 colors that will add complexity and fun!
Built With
azure
c#
Try it out
github.com | Color Code Breaker | Try to break the color code combination. Use bot hints and find the code! | ['Konstantinos Stamatopoulos'] | [] | ['azure', 'c#'] | 126 |
10,009 | https://devpost.com/software/geniusbot | Inspiration
Solving math quizzes are always fun. To be an expert in math one has to practice daily. If people can solve math quizzes and ask math-related questions at any time when they want it will be more effective.
What it does
User will have:
the problem of the day
Math quizzes
solution link to math-related questions
Ask direct questions to math experts.
Find some math-related keywords
Have the random conversational ability
How we built it
We have built it with Chatfuel a messenger chat building platform and used some plugins like google web search API for search questions on the web asked by the user.
Users will also ask direct questions to an expert using live chat.
Challenges we ran into
Gathering all the quizzes and solutions at one place seems challenging for us.
Get used to the user in this chatbot platform.
Accomplishments that we're proud of
At last, we have built a math quiz and learning platform for people who have an interest in solving maths problems and a willingness to learn new math topics.
What we learned
We have learned how to build a chatbot and how people interact with that chatbot.
What's next for GeniusBird MathBot
We want to enrich the features of the chatbot and make it more user friendly. After that, we want to build an application that will help people to solve more related problems.
Built With
chatfuel
google-web-speech-api
Try it out
m.me | GeniusBird MathBot | It is a chatbot which helps people to solve math related problems and quizzes and provides solution to the math related asked questions. | ['Kamrul Islam Shahin', 'Taher Shoukat', 'Faizatul Kobra', 'Tanvir Alam'] | [] | ['chatfuel', 'google-web-speech-api'] | 127 |
10,009 | https://devpost.com/software/meds-mdcgz0 | The website
Just say, "Hi"
Inspiration
My wife was hospitalised after being run over by a mini-bus in 2016. As we did not have medical aid, we had to pay for all the expenses out of pocket, as such it was necessary to save money where ever possible. I spent a lot of time walking from one service provider to another to get pricing of things such as lab tests, crutches and scans, with the aim of finding the most affordable options. It is at that time that I thought that a mobile or web-based platform to do this footwork would make a lot of lives easier. Alas, life threw many things at me after that and this idea was quickly put on the back burner. When the COVID pandemic and associated lockdowns came about, the idea was revived, with the added benefit of preventing unnecessary contact/travel whilst seeking affordable medical options.
What it does
There are 2 facets to the chat-based platform. It permits those seeking medical services or drugs to submit a request for quotations from various service providers. They can do this online of via the website or via chat based applications such as FB Messenger and Telegram. They may also search for the contact details of medical services providers in a particular area, which may be necessary in an emergency.
How I built it
The messaging bot is built in PHP, using BotMan as the base framework for than conversational interface. It leverages Quick Replies to allow users to quickly fill out their quotation requests with minimal typing. It also uses One Time Notifications to allow the platform to notify users of new quotation submissions that may occur after 24 hours has lapsed.
Challenges I ran into
One of the primary problems I faced was that BotMan was not up-to-date with regards to its support for Facebook Messenger. As such, I had to write a custom implementation to support the handling of One Time Notification requests. Shared hosting has its limitations, which forced me to change part of the application architecture which sends the user notifications when a quotation is ready.
Accomplishments that I'm proud of
I managed to write both the website and chat platform whilst on lockdown. I also managed to get it working on Telegram.
What I learned
I learned how to properly use One Time Notifications. I also learnt how to deploy a bot (BotMan framework) on shared hosting.
What's next for Meds
At present, the Facebook bot hasn't been approved because of COVID, so I am patiently waiting for that. I am also trying to get service providers registered on the platform to provide quotations for their respective service areas.
Built With
botman
fb
laravel
php
Try it out
m.me | Meds | Find affordable medication quickly and safely. No need to walk around, just send a message. | ['Taurai Benhura'] | [] | ['botman', 'fb', 'laravel', 'php'] | 128 |
10,009 | https://devpost.com/software/new-connection | New Connection Chat Bot
Motivational Quotes!
Motivational Quotes!
Approaching user a new way of thinking!
Emotional Status!
Inspiration
Many people feel sad and gradually become depressed. They often find no one to share their feelings, even if they find someone, the listener often makes fun of him rather showing empathy. Thus the depressed person creates a defense mechanism by not sharing his dark thoughts. Many of them take wrong actions and few end their lives as well. We wish to help them and show them a possible way to deal with their failure.
What it does
It helps depressed people to break the cycle of depression and also show them a way to find new opportunities.
How we built it
We applied a neurological concept of how our left and right brain works, our left brain works well with conventional ideas and the right brain with new ideas.
We used
Chatfuel
for creating our bot as a prototype. And we created our
bot's brain decision flow
with
coggle.it
.
Challenges we ran into
We faced challenges to invent a new solution to inspire frustrated people and to execute our plan into a working chatbot.
Accomplishments that we're proud of
We are really proud of applying our innovative concept regarding human psychology into this project. We are also very proud of how we executed our plans starting from mind mapping and applying all conditional statements.
What we learned
How to create a chatbot
,
Human Psychology
,
Team Work
,
How to deal with frustration/depression
,
How to work collaboratively in under pressure
,
How to Solve Real-Life Problem with lots of planning and communication
.
What's next for New Connection
We want to enhance the empathetic capability of this bot and also add new features like NLP, AI, Deep Learning.
Built With
adobe-illustrator
chatfuel
coggle
facebook-chat
facebook-messenger
facebook-page
Try it out
m.me | New Connection | Chatbot for depressed people. | ['Md. Asif Iqbal Fahim', 'Md. Zahid hasan'] | [] | ['adobe-illustrator', 'chatfuel', 'coggle', 'facebook-chat', 'facebook-messenger', 'facebook-page'] | 129 |
10,009 | https://devpost.com/software/score-update |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Inspiration
Sharing daily football news with the people
Built With
chatfuel | Score Update | Sharing Football news with others | ['Fateen Navid'] | [] | ['chatfuel'] | 130 |
10,009 | https://devpost.com/software/askbhunte-smart-kid-in-town | Our Official Mascot
Check Flight status
Pollution Index
Latest Crypto Prices
Latest Bullion Prices
Weather report
Latest News
Welcome Page
Latest Stock market data
Nearest food Restaurants of your food choice
Movie suggestions
Inspiration
I love to stay updated regarding what's happening around the world from early morning headlines to daily stocks/crypto prices or any supermarket offer. But, the problem is, I am not a morning person and whenever I woke up, I had to start my office work - much less time to learn about the latest information. So, I thought since I am a developer with little skill in chatbot making. I thought why not make my own personalized chatbot which does all the chores of gathering all the juicy news and I can just watch my phone early morning to learn all the news all from my bed. Hence comes the idea of making the askbhunte chatbot - the smart kid in town for me.
What it does
Simply Askbhunte scrapes data from all the open sources for news, crypto, weather, airline information, supermarket offers, horoscopes, bullion data, stock market data, movies information from IMDB, pollution indexes and stores the data personalized for me in my smartphone.
How I built it & Challenges I faced
I had some skill in MERN Stack but I have never dived into the chatbot territory. So, I had to learn what is the cheapest and the best way to develop my own Machine Learning/ AI Bot. and I don't want to code everything from scratch. so, Upon doing a little bit of research, I learned about Google's Dialogflow and within a few hours, I was able to set up my own small talk making chatbot.
Now, comes the big hurdle for me to pass the open API data to my chatbot. Upon going through all the Dialogflow documentation, I learned about the webhooks, how they can be used to redirect the request from Dialogflow into any application and get a response back from the application to Dialogflow. That solves lot of my issues and that's exactly what I wanted.
My application then can scrape all the news from any sources that I want and store that in the database of my choice and I just need to send back the response that is understandable by the Dialogflow. Then, I started the journey to train my bot to learn about the intent that I am trying to make queries of. In this process, I learned about entities which are synonyms for intents and voila I was able to trigger any intent I want based on the questions, I typed in the Dialogflow.
From the webhook, I was able to identify which intent is Dialogflow sending information as, and Based on that INTENT, I was able to return the response back to the Dialogflow. I was able to do this much without any issues. But, connecting to the messenger was the hardest part for me because of the template guidelines that Facebook specifies.
From now on, Once again I started diving into the Facebook messenger templates guidelines in order to make the chatbot much more engaging for appropriate contexts like combination of images and texts for news, just texts & emoji signs from weather, pollution updates.
Once all that is done, the chatbot is ready and I was able to interact with my chatbot every morning to stay updated.
Accomplishments that I'm proud of
I am proud that I was able to create my own chatbot and once I made the chatbot public, its userbase is slowly increasing. It feels good to see one of my creations being used by other people besides friends and family.
What's next for Askbhunte - smart kid in town
For now, I am seeing the chatbot is not so user friendly. So, the future goal is to make it as efficient and user friendly as possible so that people can have an actual conversation with the chatbot as talking to human beings.
Built With
amazon-web-services
cheerio
dialogflow
mern
mongodb
node.js
webhook
Try it out
www.facebook.com | Askbhunte - smart kid in town | Chatbot as a real-time information encyclopedia. Askbhunte provides information of ever changing crypto prices to prices of groceries in the market. Most of all latest news at your fingertip. | ['manandhar-ashmita79', 'Ruchin Singh', 'Raktim Shrestha'] | [] | ['amazon-web-services', 'cheerio', 'dialogflow', 'mern', 'mongodb', 'node.js', 'webhook'] | 131 |
10,009 | https://devpost.com/software/eatnow-n1jxi2 | Inspiration
With
EatNow
we wanted to re-imagine customer care in the food and hospitality industry.
Why print out menu's every time menu items changes. With
EatNow
you not only keep your customers and staff safe you greatly increase efficiency of your restaurant by having a virtual waiter bot take orders and help your customers for you.
What it does
The app allows you to dine in or request a take-away at restaurant.
View they're entire menu and order food directly from it.
You can also request a receipt to be emailed to you instead of having to be in contact with a waiter.
How I built it
We use Facebook Messanger API to facilitate the conversation.
We use Quick Replies to allow users to quickly order food or make requests for additional things like getting a receipt emailed to them or to talk to an actual waiter.
We use the handover protocol when the user requests a waiter so a human can intervene.
Users have can opt-in to have us use the email on their Facebook to send an email receipt - users can simply decline via a reply
Challenges I ran into
We had to tweak our idea a bit because we didn't want the overhead of persisting chat data
Accomplishments that I'm proud of
We actually got a fully working version deployed.
What I learned
Python and Flask. I used this hackathon to brush up on my backend skills.
What's next for EatNow
Create an admin UI where users can upload their own menus and do a alpha test with one of our restaurants.
Built With
flask
php
python | EatNow | A contact-less way to place an order at your favorite restaurant. | [] | [] | ['flask', 'php', 'python'] | 132 |
10,009 | https://devpost.com/software/various-kind-of-animal-and-insects-picture | Inspiration
A first I made it for the kids who love animals, cartoon
What it does
It will show us the animal insects and tv cartoon picture
How I built it
I built it with manychat and publish my bot to the messenger platform,
Challenges I ran into
At first, I used manychat for the first time that's why I can publish my bot easily. Then I don't know about the keyword.
Accomplishments that I'm proud of
Finally, I did it and I want to create this type of bot more
What I learned
I have learned manychat and how to create messenger bot
What's next for Various kind of animal and insects picture
Animal pictures or insects picture
Built With
facebook-messenger
manychat
Try it out
m.me | Various kind of animal and insects picture | People can show their desirable picture of animal, insects, and tv-cartoon | ['Faozia Rashid Taimy'] | [] | ['facebook-messenger', 'manychat'] | 133 |
10,009 | https://devpost.com/software/your-free-tutor | It's my school
Inspiration
I was inspired by a facebook page.
What it does
It helps people of any kind to access to my online school.
How I built it
I built it with the help of a tool(Chatfuel) that is free to use.
Challenges I ran into
Firstly, I couldn't understand the technical issues but I fixed it finally.
Accomplishments that I'm proud of
I will be proud if I can succeed to join this hackathon.
What I learned
I learned how bot works and how to make a bot .
What's next for Your Free Tutor
To see my school more popular online.
Built With
chatfuel
english
Try it out
m.me | Your Free Tutor | This quick reply bot will allow one to know his/her English Grammar syllabus by selecting learner type. | ['Md. Safikul Islam'] | [] | ['chatfuel', 'english'] | 134 |
10,009 | https://devpost.com/software/locate-location | 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 Locate location
Built With
chatfeul
Try it out
www.messenger.com | Find Lecture Bot | Help people find lectures | ['Saiduzzaman Sadi'] | [] | ['chatfeul'] | 135 |
10,009 | https://devpost.com/software/past-papers-for-messenger | Inspiration
Few months ago, i built a
Platform
for students to access past papers online while at home. I decided to improve the platform by building a messenger app that could help students to search for past papers while on Facebook Messenger.
What it does
The main purpose of this Messenger bot is to help students in Kenya search for exam past papers through Facebook messenger.
How I built it
I built with google dialog-flow platform and Narratory io
Challenges I ran into
My computer crashed before i completed the project so i had to borrow a computer to restart the project. I also had to use the api of other website because mine has expired but i am working on it to be live soon. Apologies 😊
Accomplishments that I'm proud of
I am proud for this app shall introduce a new way of searching for past papers without leaving facebook.
I am also proud of my work.
What I learned
Working with Narratory.io on top of google dialog flow is just awesome. You should
Try it
What's next for PAST Papers for Messenger
Integrate it to the official platform
Official Platform
, publish it for Facebook review and then go live. Hoping soon
Built With
facebook-messenger
google
narratory.io | PAST Papers Search for Messenger | A messenger app to help high school and college students to access examination past papers | ['ROBERT NGETHE'] | [] | ['facebook-messenger', 'google', 'narratory.io'] | 136 |
10,009 | https://devpost.com/software/a-0w4gnl | Quarantine ClassBot logo and Facebook page cover
Inspiration
Every new day in lock down seems like a new challenge to cope up with the changed scenario. We wake up, take our phone and pass the whole day in our home mostly on social media. To keep up with the world almost all the educational institutions have come up with online classes. Online class requires a changed link to classroom for every session and every other subject. This is quite a tough job to handle for the class representatives to contact with the teacher for the link and also sending the class time and details to each and every student in a class containing a good number of students. So, we came up with the solution in messenger chat bot where students can know each update in the exact time, and it will reduce the hassle of the people in charge
What it does
Our Quarantine ClassBot eases the work of all the people related to online education system. This takes the routine of all the departments and all the levels and sorts it out. Thus, when someone of a specific department wants to know his schedule for the day , he can simply use our bot. At the same time, any important notice like the class got cancelled, rescheduled and so on will be sent to each student subscribed to the specific class. Our bot also provides Corona information of the country as well as the world daily so that people can get updated. Both the features are independent of each other.
How I built it
So, we made this messenger bot using Manychat and we used quick replies, one time notifications.
Challenges I ran into
While making this messenger bot, I was struggling with quick replies, but somehow we learnt it and it started working properly. Also, to make it more user friendly, we tried to use more key words so that an user gets a good response from the chat bot. While making this, we had to include more and more key words. Inclusion of one time notifications helped the bot run smoothly.
Accomplishments that I'm proud of
After making this messenger bot,
we felt relieved as it will help a lot of students in different institutions to know the update of their classes very easily. Since, it works as a reminder, it will remind the person about his/her class and there will be less hassle for an individual to ask for class links and routines to fellow classmates. It will make the student’s life easier.
What I learned
We have learnt many things while making this chat bot. We actually consulted with others and because of this brainstorming we could know more about our target group people which eventually helped us to generate this idea.
What's next for A
We will work more on this chat. We have a plan to include this with our institution officially, so that one can get 1. Class Routines 2. Lesson Plan 3. Practical Class Schedule 4. Exam Schedule 5. Lecture Notes easily by giving a single message in this messenger bot.
Built With
manychat
Try it out
m.me | Quarantine ClassBot | Quarantine ClassBot is a chat bot designed specifically for students who are attending online classes amidst this pandemic. It notifies users about their class routines and schedules. | ['Zawad Alam', 'Adil Ahnaf Mugdho', 'Raiyan Ibne Hafiz'] | [] | ['manychat'] | 137 |
10,009 | https://devpost.com/software/vedika-virtual-health-assistant-covid19-gr2x3n | Inspiration
Given the current coronavirus pandemic the world is facing the need is to reach masses and educate them.
What it does
The Virtual assistant does a lot of things like :
1 Self-assessment Test
2 Live COIVID19 world stats tracker
3 FAQs
How I built it
The solution is built using python and flask web flask web framework. It uses two Facebook platforms messenger for frontend and wit.ai as NLP engine. It is deployed on google cloud.
Challenges I ran into
There were no technical challenges. The challenges we faced were more to do with how presentable the whole user experience can be. We decided to give a human-like face and dress up to the virtual assistant and named her as "Vedika", Vedika is a Hindi word which means "full of knowledge".
Accomplishments that I'm proud of
I believe the solution has the potential to make a real impact in our community and that is what really makes it extra special. Apart from this, we were able to very efficiently use both the Facebook platforms and integrations went smoothly.
What I learned
Though I have build chatbots in the past this was my first time using Facebook platforms for it.
What's next for Vedika -Virtual Health Assistant (COVID19)
I believe this is just a beginning for Vedika. Need to further extend her knowledge base. Apart from this I also wish to integrate her with live chat functionality where doctors can then take over a conversation when Vedika flags a user who is at high risk.
Built With
facebook
facebook-messenger
flask
gcp
python
wit.ai
Try it out
www.facebook.com | Vedika -Virtual Health Assistant (COVID19) | Meet my virtual health assistant Vedika! Vedika is a COVID 19 first responder. She is built keeping in mind the current corona virus pandemic the world is facing. | ['Rachit Bedi', 'missswatibajaj', 'Akshita Bajaj'] | [] | ['facebook', 'facebook-messenger', 'flask', 'gcp', 'python', 'wit.ai'] | 138 |
10,009 | https://devpost.com/software/quizkitty | A sample screenshot of a conversation
Inspiration
I wanted to have a friend who'd ask me trivia questions.
What it does
It asks you trivia questions.
How I built it
I built it using the Gin framework in Go.
Challenges I ran into
Testing the app was a problem because my friends' messages were not being sent over the webhook to my app, as the app is yet in the development phase.
Accomplishments that I'm proud of
This app in itself.
What I learned
I learnt that the IPV6 addresses of Facebook servers end with the bytes ...:face:b00c
What's next for QuizKitty
I have a few features in mind:
A global leaderboard
Let the users choose their preferred categories of questions
The app is deployed on the page 'Quiz Kitty' (
https://www.facebook.com/101519811583239
) (messenger link: m.me/quizkitty).
Built With
gin
go
heroku
Try it out
github.com | QuizKitty | QuizKitty is a cute and intelligent cat. She can ask you a question whenever you want her to. You can train with her to become the best quizzer in the world! | ['Priydarshi Singh'] | [] | ['gin', 'go', 'heroku'] | 139 |
10,009 | https://devpost.com/software/topupwise | Welcome screen
Inspiration
When traveling abroad, we usually buy a prepaid sim card to check important information or keep contact with our family. However, if we ran out of credit with prepaid and could not find a way to recharge it, we must feel very anxious.
Therefore, we would like to design a solution that would help people to top up prepaid sim cards easily by a quick response chatbot system. This solution is applicable for, not only travelers but also in case of people under lockdown during the COVID-19 epidemic.
What it does
People just need to choose the telecom and enter the phone number they want to top up through the chatbot. After payment, the system will top up automatically.
Topupwise connected more than two hundred telecoms around the world and could process the transaction in a few seconds. Moreover, we have two features:
After users enter the phone numbers, our system could help check whether the phone number is valid to the corresponding telecom in order to reduce the chance users input a wrong phone number.
We support lots of payment methods. People could choose the most feasible way to make the payment.
How I built it
The solution is built out of several components. We built a chatbot application that displays different top-up options in the most user-friendly way. Moreover, the system of topupwise integrated third-party payment gateway API and API among all telecoms.
We also build a notification module. After topping up successfully, the system would notify the user by the chatbot and the email. If things wouldn't work out, the system will notify the admin to check problems.
Challenges I ran into
One of the biggest challenges we ran into was the stability. Telecoms might be under maintenance or unknown reasons to stop the service without any prior notice. We are planning to build a monitor system to check the status of Telecoms' service. Then, we will have the ability to notice our customers in advance. For now, we offer a full refund if the system could not finish the transaction in 20 mins.
Accomplishments that I'm proud of
We are very proud that we built the solution in such a short period of time, and made both frontend and backend functional. More importantly, topupwise did help lots of people under lockdown during the COVID-19 epidemic.
Our first user was Taiwanese who worked in Philippines. Because of the lockdown, he could not buy a prepaid phone card from CVS. It was our service to help him keep in contact with his family. During this difficult time, we have helped hundreds of people.
What I learned
We learned that a simple service could have a huge impact on consumption patterns. Lots of our customers used to buy prepaid phone cards in physical stores. Because of our service, they even stop visiting these stores twice a month. We realized that we have more potential to combine other services together.
What's next for Topupwise
We plan to expand our solution. We might be able to help people pay utility bills and buy some gift cards for their families. Furthermore, we also take international money transfer into consideration. It will be a long journey for our team.
Built With
bottender
node.js
vue
Try it out
m.me | Topupwise | Your wise top-up helper. Load delivered in moments. Place an order and pay whenever you want. Receive load in 10 minutes. | ['治中 張', 'Mark Lin'] | [] | ['bottender', 'node.js', 'vue'] | 140 |
10,009 | https://devpost.com/software/mychefai | https://mychefai.herokuapp.com/
https://mychefai.herokuapp.com/
Inspiration
One of the things I always like to do is cook on the weekends and try new dishes in my favorite places. However, due to the problem we have with the pandemic caused by COVID-19, all establishments are closed. In addition, as a result of the social distancing we have to maintain, birthdays, parties, celebrations can no longer be attended. So being at home all day can be an overwhelming situation that even your appetite for food can lose. In addition, there are people who do not have culinary skills and find it difficult to know what type of food to eat for breakfast, lunch and dinner. Therefore, a bot has been created to help those people create their own meals by following simple step-by-step instructions. It is important to note that the recipes of the dishes proposed are not difficult to achieve. At the same time, it is a fun activity since you can combine multiple flavors to later enjoy your food and share it with your social networks. And you could even become a chef and food lover to surprise your friends and family at the next social gathering they have.
What it does
What the bot does is that it gives users recipe options that can be prepared very easily. For this, it asks the user if they want to prepare a Breakfast, Lunch or Dinner, depending on the time of day. In addition, through the implementation of the Handover Protocol, users can interact with professional chefs to ask for advice or answer questions if the user has any or even ask for specific recipes.
When the user requests to have a conversation with someone, the bot tells him in a message that he will be transferred to a person. It is at that moment that I send an inbox message to the facebook page that was created. That message can be read by the administrator of the page or by someone who has an assigned role. For the user to return to the conversation with the bot, just type: stop, stop the conversation, finish or finish the conversation. And again it will be returned to the bot just in case you want to do something else.
Something new is that we decided to include in a single project Handover Protocol, Quick replies and One-Time Notifications. In this way we consider that we could have more important elements to have a more fluid and interesting conversation.
How I built it
FOR THE CREATION PART OF THE PAGE
The first thing to do was read the reference documentation provided by facebook on their developer help site. In addition, published videos related to Messenger were consulted on YouTube channels.
Then I proceeded with the creation of a facebook page using my registered account. Then, I proceeded to install messenger for my page. In the configuration section, the permissions to receive messenger messages on the page were selected. This in order that users when they find the page can use the messenger option and thus interact with the bot.
In the page configuration options, the following parameters were searched: APP ID, APP SECRET, TOKEN, PAGE ID. This information is vital to establish the connection with the Facebook API and to allow the transfer of messages with the chatfuel tool.
FOR THE BOT CREATION PART
In this part the chatfuel tool was used. In it, the previously saved parameters of our page were used to allow a link between our bot with the previously created facebook page. In chatfuel, the conversation options and the handover protocol were configured.
To be able to integrate the facebook page with chatfuel, it was necessary to register chatfuel as the first response option for the user when interacting with the page's message button.
Once the integration between the facebook page and chatfuel was done, I proceeded to create a website. For that, heroku, nodejs was used for the creation of a web server and with the help of the magic of git create a tunnel between local development to be able to put the web page in a publicly stored heroku way. The parameters APP ID, APP SECRET, TOKEN and PAGE ID were used. Finally, with the help of a little HTML code and providing CSS layout we were able to create a quick design for our website.
Challenges I ran into
Integrating several protocols into a single project was quite a challenge. We know they are not perfect. However, the idea we are trying to convey is very simple and the way we exemplify it helped us develop more knowledge.
Another challenge was to achieve the integration of Heroku and the messenger SDK to be able to put that integration into production and do the tests.
Accomplishments that I'm proud of
We managed to put a representation of a web page on Heroku. Then we attached the facebook messenger SDK to be able to do the tests and verify that the bot could work in the best way being in an HTTPS protocol. We are also proud to be able to incorporate several protocols that were requested in a single project. The website is available at the following link:
https://mychefai.herokuapp.com/
What I learned
I learned that the advantage of using the Git terminal to make changes is very useful for production processes. Going from localhost to a web server with internet access.
Heroku is an excellent platform where developers can make their projects available for testing.
The exchange controls provided by the code editors are very important.
The advantage of having a facebook page for small businesses because now users have created a way to do business through the social network.
Implementation protocols can be useful for handling large volumes of information requests. In addition, it helps the administration and attention as customer service.
Facebook is a network that has no limits to growth and every day is innovating with better applications, codes, tools for developers.
What's next for MyChefai
Design a nice website with responsive design
Establish a DNS so that users can enter securely using the HTTP protocol
Add more information to the facebook page such as: image gallery, videos.
Define AI rules to restrict offensive and vulgar out-of-context expressions.
Establish better AI rules to capture user-supplied information to generate new conversations.
Conduct content publishing campaigns and make video recipes for novel, easy and inexpensive foods.
Built With
chatfuel
git
github
heroku
node.js
npm
tunnel
Try it out
mychefai.herokuapp.com
www.facebook.com | MyChefai | People love food with many flavors. Due to the COVID-19 problem, his favorite places were closed. That is why a bot will help you create food at home with a varied menu. | ['Danny Chavez'] | [] | ['chatfuel', 'git', 'github', 'heroku', 'node.js', 'npm', 'tunnel'] | 141 |
10,009 | https://devpost.com/software/combot-8pvq40 | Inspiration
Growing up as one of the biggest comics fans, I wanted to build my first chatbot as a tool that helps not only the new comic readers to quickly find a series that is tailored to them but also the long-time ones who want to get the series they have been looking for.
What it does
ComBot leverages Facebook Messenger features to interact with users in a responsive and easy-to-navigate manner.
It has 3 main functions:
Recommend: a series of questions and result will be a comic series that ComBot thinks you will enjoy reading based on your responses.
Show: a list of top picks that users can chat with an agent if interested in any specific or they have any questions about it.
Contact agent: an agent will take over and enter conversation with users.
How I built it
Leveraged
Handover Protocol
to switch between chatbot and agent (currently Page admin), and
Quick Replies
to give users a convenient and easy-to-navigate experience.
Facebook Messenger APIs (Send API, Webhooks, User Profile API).
Node.js as backend, hosted in GCP.
MongoDB to store data, SQLite to manage in-app states.
Challenges I ran into
I was unfamiliar with states in Facebook Messenger so it was challenging to work with cloud-based DB and state management.
Testing on local.
Planned a logical flow.
Accomplishments that I'm proud of
Got a complete, working chatbot with features I initially planned.
Was able to solve the challenges I faced.
What I learned
Learned the ecosystem Facebook offers to developers.
Learned how to use Facebook Messenger APIs/products.
Used SQLite as in-memory DB.
What's next for ComBot
Add more recommendation questions/Build a more sophisticated recommendation system.
Store all data in cloud.
Built With
facebook-messenger
gcp
mongodb
node.js
sendapi
sqlite
userprofileapi
Try it out
github.com | ComBot | ComBot can quickly recommend a comic series to you based on your preference or help you get the one you have always wanted through live chat with our agent. | ['Minh Ng'] | [] | ['facebook-messenger', 'gcp', 'mongodb', 'node.js', 'sendapi', 'sqlite', 'userprofileapi'] | 142 |
10,009 | https://devpost.com/software/plaza-your-local-business-recommender | Plaza - Your Local Business Chatbot
Plaza Offers Quick Replies
Plaza Data Persistence
Inspiration
In the Chicago area, where we grew up, many local businesses have struggled due to the ongoing COVID-19 pandemic. Instead of ordering fast food, our bot gives people an easy way to discover local restaurants, salons, and other facilities. With this conversational AI we hope to combat the economic despair America is facing.
What it does
Many local businesses lack name-recognition to potential customers. Additionally, many people want to support local businesses, especially with the ongoing COVID-19 pandemic. A user can ask the Plaza chatbot for local businesses in a specific market to find and support.
Our bot uses natural language processing and parts-of-speech identification to recognize any names given by the user. Similar processing is used for other user inputs.
The user can enter any words specific to the business they are trying to find along with location. The Plaza bot can take any U.S. city and find businesses in the area
Using Google API, our bot finds local businesses that fit our users’ criteria of location, the business’s hours, and rating
Our bot also uses “quick replies” to give more input options
How We built it
We used Node.js for backend development
We implemented natural language processing to recognize and interpret user inputs
Google API was used to find local businesses based on input criteria
Jovo was used for framework architecture
Challenges We ran into
Implementing quick replies
There was no existing API that could filter local businesses so we came up with a series of API calls and data parsed that information to come up with local businesses
Accomplishments that We're proud of
Creating a successful chatbot and implementing several components
Supporting local businesses in a time of need
Helping people discover new businesses/restaurants
Creating a system of data persistence wherein the application remembers the user
What We learned
We learned how to use natural language processing to recognize user inputs
We learned how to implement APIs into our framework
What's next for Plaza
We hope to add a review function to allow our users to provide feedback on local businesses
After enough businesses are reviewed, we would add this data to the bot’s framework and use it for future suggestions to our users
Built With
dialogflow
jovo
node.js
Try it out
m.me | Plaza - Your Local Business Recommender | Due to COVID-19, local businesses are struggling due to state shutdowns. Using natural language processing, we developed a conversational AI that can recommend local businesses to users. | ['Albert Su', 'Benjamin John', 'Lewis Wang', 'Suraj Rajendran'] | [] | ['dialogflow', 'jovo', 'node.js'] | 143 |
10,009 | https://devpost.com/software/emotional-heal | Inspiration
Negativity , depression and ill feelings make people to commit suicide. During COVID19 depression is on rise either due to joblessness or any other social pressure & fear. Everyone want a listening ear and a friend who can give you sincere advice and listen to your worries, comfort you and give you sense of care.
What it does
Its a chatbot that will greet the user and ask about his current mode and emotional condition. I used quick reply and provided options like depressed, bore, panic, worthless and according to the selected emotional state chat bot listen you and give you fair advises. Like in case of jobless it provide you the recommended job hunting techniques and platforms.
How we built it
I used chatteron platform to build the chat bot. I used quick reply feature and almost catered most of the scenarios which cause hopelessness in person.
Challenges we ran into
Learning about messenger is not that easy. I wanted a super awesome bot but this is also a good one without any coding. I could not find any api for emotional healing over the internet although its the need. Looking forward for such api.
Accomplishments that we're proud of
A bot. That really try to figure out and solve the problem. Emotional therapies are dire need of the time and usually we talk about technology , development and well being and often ignore the emotions which differentiate humans and technological advancement. I thought to step forward and with the help of my team mates we at least tried to comfort the depression souls.
What we learned
Human need attention and appreciation and we can and must positively use technology for this.
What's next for Emotional Heal
Will carry forward and try to cater more cases like the emotions described above. Will try to make it open text based more than quick replies.
Built With
chatteron
messenger
quickreply
Try it out
m.me | Emotional Heal | Bot that can make you feel relax if you are emotionally pissed off. Relieve your worries and give you sense of care and love. A Compassionate Friend and listener. | ['Shaista Aman', 'Shadab Aman', 'Nayab Aman'] | [] | ['chatteron', 'messenger', 'quickreply'] | 144 |
10,009 | https://devpost.com/software/sbot-ui3v4r | Register of this course is my bot.
Inspiration
Facebook devC Dhaka.
What it does
Registration people on my computer course.
It collect mobile number for registration.
How I built it
With chatfuel.
First I set a quick reply button at welcome massage within called "Registration".
When click this it redirect to phone collect block. And ask from user his/her phone number.
After submitted gives him a confirm massage within congrat.
Challenges I ran into
Making confirme massge with user Id.
Where I keep my first block for user simplicity.
Accomplishments that I'm proud of
Becoming a participants on facebook Hackathon and starting my first job
as a Teacher.
What I learned
I can't describe in some word what I learn. Because I get huge amount experience an learn.
What's next for Sbot
Best assistant in the world within three language.
Built With
chatfuel
jsonapi
Try it out
m.me | Sbot | For arrange a Better life than now making a personal assistant. I start a small school for tech computer. Registration process design with this bot. | ['Salman Farse'] | [] | ['chatfuel', 'jsonapi'] | 145 |
10,009 | https://devpost.com/software/fgh-bvfzm4 | Seller uploads artwork
Seller enters artwork details
Buyer shown available artworks
Live auction bidding
Live auction result
Artwork purchased: Buyer enters contact information
Artwork purchased: Buyer enters shipping address
Inspiration
By leveraging the availability and popularity of the Facebook Messenger platform around the world,
Art Auction
opens up the selling and buying of artworks to a global audience. This both increases the audience spectrum for artists in various countries, as well as increases the array of choices for global art lovers.
In addition,
Art Auction
encourages the selling of artworks at base accessible, which can then be increased based on demand, during the auction stage.
What it does
Out
Art Auction
bot automates the user process for buying as well as selling art.
When more than two people have selected the same artwork, it will be put up for bidding during a specific time slot, which the user will be notified of via a Facebook message from the bot.
By starting with any simple text prompt such as a greeting, the user will be able to select between "Buy Art" or "Sell Art" quick replies, which will then send them the appropriate prompts.
During the "Sell Art" set of prompts, the user will be prompted to upload their artwork, as well as the title of the piece, year of creation, initial bidding price, category (i.e. Painting, Sculpture, or Photography), and dimensions.
During the "Buy Art" set of prompts, the user will be able to select their preferred category and price range of artworks. The artworks matching their description will be shown via a Messenger Generic Template Carousel. The buyer will then be sent a prompt to await further instructions for bidding on the work, as applicable.
How we built it
Our bot using automated responses is built using Node.js and vanilla javascript.
It retrieves user data and sends user messages via Facebook's Graph API with the Art Auction page access token; It uses the sender's psid for customized responses like first and last name. It makes use of the Messenger Platform Quick Replies, Templates, and Buttons payload and properties, to create fancier automated page responses.
The code is hosted on Heroku (free tier), which has a delay on the first interaction.
User entered data is saved and retrieved from a cloud MongoDB database.
The bidding management is being built using Socket.io with Node.js
Challenges we ran into
Design challenges involved taking into consideration all forms of user interactions and potential scenarios, as well as implementing appropriate information entry verification.
Technical challenges we ran into mostly involved setting up our app, and connecting it to the webhook for our Page and having a local environment to test it (this was resolved using Ngrok tunneling). As well, some time was spent going through docs and playing with Facebook Samples' code, to figure out how to use the various Messenger Platform features, as well as retrieve specific user information via Facebook's Graph API.
It was nice also getting to use Javascript Promises, async functions, and overall, dealing with a lot of the details of the language through this hackathon.
Accomplishments that we're proud of
Through this hacakthon, we are proud of addressing a real-world problem regarding a more accessible interface for artists and world-wide buyers. Through our application, anyone in the world with access to Facebook can also access a world-wide array of artists and their art.
What we learned
Through this hackathon, we gained experience and depth in systems thinking, creating user flows, and understanding chatbot conversation design.
From a technical perspective, we also learned about webhooks, localhost tunneling, and Facebook Messenger Platform features.
What's next for Art Auction
From a business and design perspective, we want to continue expanding the different types of art sold through
Art Auction
and also create feedback loops for different user input scenarios.
From a technical perspective, we will be completing the live auction aspect of our application in the coming weeks.
Built With
atlas
express.js
facebook-graph
facebook-messenger
heroku
javascript
mongodb
mongoose
ngrok
node.js
Try it out
github.com
whimsical.com | Art Auction | Sell and bid for paintings, sculptures and photography, all through our messenger chatbot. | ['Joanna Liu', 'Gillian Wu'] | [] | ['atlas', 'express.js', 'facebook-graph', 'facebook-messenger', 'heroku', 'javascript', 'mongodb', 'mongoose', 'ngrok', 'node.js'] | 146 |
10,009 | https://devpost.com/software/reserving-a-table-in-a-cafeteria |
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xfbml : true,
version : 'v3.3'
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// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
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};
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
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Do you want a cup of coffee? And a seat there?
Inspiration
People can not find a seat for the coffee
What it does
Ask to the Facebook coffee shop
How I built it
My first program thanks to Scott Arnold
Challenges I ran into
Never did I before!
Accomplishments that I'm proud of
Almost I can understand how to communicate with bots.
What I learned
Bot programming.
What's next for Reserving a table in a cafeteria.
try to convince the owner of the coffe shop at the corner of my office, for do it...
Built With
glitch
wit.ai
Try it out
www.facebook.com | Reserving a table in a cafeteria. | Automatically reply via Facebook page. If you want to have a coffee in the cafeteria, write on the facebook page so that you can find out about the possibility of a free site. | ['Francisco Collado'] | [] | ['glitch', 'wit.ai'] | 147 |
10,009 | https://devpost.com/software/drawbot | Get Started
Magic code: Good Vibes; Boosts self-esteem, Makes you happy
Always makes you feel loved.
response using quick replies
Voila! You've your customized cartoon portrait
Hit GO!
more quick reply responses
Inspiration
I wanted to put my animation skills altogether with the chatbot workflow to create something original, a new experience which enhances the bot-user interactivity radically.
What it does
The main function the Drawbot is designed to do is, provide the users with their customized & uniquely designed cartoon-like portraits. Other than that, he can compliment you through texts and gifs.
Overall, the character formation of this bot has been done in such a way that he
enables positivity
is the user's mind and makes them more confident about themselves.
While we face our current pandemic, a conversation with Drawbot will certainly make you feel better. Moreover, globally an enormous number of people constantly concern about their appearance, which significantly affect their mental health and lower their productivity. An opportunity to talk with such a chatbot, will boost their self-confidence and make their states only better!
PROS: DRAWBOT never judges
How I built it
Drew all the different portrait characteristics in different layers in
ibispaint
.
On a
spreadsheet
, I listed out all
280 possible responses
from different context and sorted out
48 distinctive combination set
,
each resulting in one exclusive portrait of the user.
Used online
gif maker
to generate gifs from my
PNGs created on ibispaint.
Overall chatbot developed on
Chatfuel
platform
Challenges I ran into
Considering multiple responses from the user to produce one exclusive image
Creating an acceptable & adorable Drawbot character with proper wordings
Accomplishments that I'm proud of
Firstly, so satisfied that I could complete what I started.
Very glad that I overcame every challenge I encountered
What I learned
Learned about
how functional messenger API is
, and how we can
add different aspects
in our chatbots
learned how to
launch an interactive messenger chatbot
learned the journey from
visualizing and then making things happen
Realized that
making people happy with your work, makes you happier!
What's next for Drawbot
Adding more
diversity to the portraits
to make them more accurate by
increasing quick reply options
Add overall
new functionalities time-to-time
to the bot and
give alert to users
about it via
One-time notifications
Learn new coding solution for making the image generating procedure easier
Encourage artists
to make use of such a bot to
provide their fan group with an opportunity to get customized portraits
in the style of their very own favorite artists
Publish and
make distressed people
talk with Drawbot
and stay happy
in their hard times!
Built With
chatfuel
ibispaint
spreadsheet
Try it out
m.me | DRAWBOT by Panimates | Drawbot draws for you. And, makes you feel loved. | ['Pushpita Saha'] | [] | ['chatfuel', 'ibispaint', 'spreadsheet'] | 148 |
10,009 | https://devpost.com/software/hermes-kvwh09 | Getting Started
Welcome Message
Browse product categories
Checkout process
Browse product categories
Menu
Browse product categories
Payment confirmation message
Adding item to cart
Payment gateway
Browse product categories
Checkout form
Inspiration
My life's vision is to build products and services that inspire people and give them the courage to live their best lives.
The goal of this project was to enable individuals and small business owners who majorly drive sales of their products and services on social media a way to make sales in a way and place people are already conversant with, right inside messenger and also help them transact online without managing an e-commerce website.
What it does
Hermes is a messenger chat-bot that handles e-commerce activities for individuals and small business owners entirely in messenger, it allows users to add items to cart, view different categories of items, subscribe for notifications for out of stock products, and finally let users checkout and pay from messenger.
How I built it
I used the following messenger APIS in the application
Quick replies
,
One time notification
,
Natural Language Processing
,
Persistent Menu
,
Web view
.
I built the bot with Express,Node.js, and PostgreSQL database, I built a minimalist dashboard where the page owner can upload products stock, see list of orders, then I used the quick replies feature of messenger to allow users browse the categories of items through messenger carousels, I used the NLP API to process user inputs in some aspects of the application. I used messenger webview to allow users pay online for the products and Twilio SMS to send notifications of successful transactions.
Challenges I ran into
The major challenge I ran into was distilling the entire experience in such a way that makes it similar to traditional e-commerce experiences and not over complicating it with so many commands.
I had lots of iterations over the course of the development process, I started with using a lots of commands, but I gradually replaced the commands with more intuitive action buttons.
I had challenges properly structuring the database in a way that reduces the number of times I accessed the database, I solved that by using relations so I fetched related data with a single call.
Accomplishments that I'm proud of
I am proud of the fact that this is my first ever chat bot and I was able to build it in less than 12 days.
What I learned
I learned advanced concepts in Node.js like in-memory caching
I learned how to execute asynchronous tasks sequentially.
I learned how to use firebase storage to handle file uploads.
I learned how to relate data together in PostgreSQL
What's next for Hermes
I plan on finding a way to improve the e-commerce experience and also try to extend Hermes to function on Whatsapp or Instagram
Built With
express.js
facebook-messenger
node.js
postgresql
tailwindcss
twilio
Try it out
www.facebook.com | Hermes | An Ecommerce bot that handles ecommerce transactions in messenger for small businesses with niche product categories | ['David Salami'] | [] | ['express.js', 'facebook-messenger', 'node.js', 'postgresql', 'tailwindcss', 'twilio'] | 149 |
10,009 | https://devpost.com/software/depression-killer-bot | GIF
Depression Killer Chat bot
Inspiration
In this Ovid 19 Situation we are helping people to make people happy . In this situation many people loosing their job . They are geeing depressed day by day . So my bot and fb page will help them to reduce that.
What it does
It kill depression by supporting mental support .
How I built it
I use chat fuel to develop it .
Challenges I ran into
I make it in short time . and i ma developing it day by day . It is growing day by day . My bot is little boy . Its growing day by day .
Accomplishments that I'm proud of
This is my first time in face book hackathon . My project is little thing . I know it will not give me any prize . But i am proud about that i am joining this hacathon . And feel the test of Facebook.
What I learned
I learned a lot of thing from this .
What's next for Depression Killer Bot
i will add telemedicine automation and docter bot to help people .
Built With
chatfuel
Try it out
www.facebook.com | Depression Killer Bot | My bot help people to depression killing . In this covid 19 situation ,we create a page to help killing people depression . Make them happy . We are trying to create a smile on their face . | ['MD. ARIF ANZUM'] | [] | ['chatfuel'] | 150 |
10,009 | https://devpost.com/software/boombox-teymf6 | Inspiration: I wanted to create a new effect which is kind of upbeat and fun
What it does: A world effect which the user can control freely using gestures
How I built it: Using Spark AR and JavaScript
Challenges I ran into: Was new to Spark AR platform and it took time to understand the platform
Accomplishments that I'm proud of: Created a working prototype of the world effect
What I learned: Using Spark AR and coding in JavaScript
What's next for BoomBox: Customizing it and adding new cooler features on top of it
Built With
javascript
particle
Try it out
github.com | BoomBox | Creating a world effect using an animated boombox | ['Sandeep Chakravartty'] | [] | ['javascript', 'particle'] | 151 |
10,009 | https://devpost.com/software/fight-covid19-uganda-otr0m8 | Inspiration. I was staying indoors after out president declared a stay home order, so I got bored playing PS4, then thought of what my lousy stay would do to help with fighting the virus, I thought I needed to build something so simple that people won't have hard time accessing yet very useful via informational resource, and Messenger bot was a priority choice.
What it does. It updates users with information about Covid19 cases, new infections to users, presents all the contact details for District Health Officials (DHOs) of every district, shows symptoms and preventive measures, and give out FAQs about the the virus and provides a General Toll-Free phone line for emergency response team of the Ministry of Health of Uganda.
How I built it . I used the Chatfuel framework for building Messenger-based apps (bots).
Challenges I ran into .I had challenges in collecting local data for presenting new infection cases and getting the bot to reach more people in my country..
Accomplishments that I'm proud of . The bot is receiving good responses and reviews from some testers.
What I learned . I've learned that anything can be built so long as there's a motivation.
What's next for Fight Covid19 Uganda . After the Covid19 pandemic getting down, the app will shift to helping in fighting another deadly killer disease or epidermic.
Built With
Built With
chatfuel
Try it out
www.messenger.com | Fight Covid19 Uganda | Provides all guiding information, news and measures for Ugandan communities about Covid19, provide all District Health Officers' contacts and the Ministry of Health's general helpline for emergencies. | ['Nyadru Innocent'] | [] | ['chatfuel'] | 152 |
10,009 | https://devpost.com/software/doctor-s-appointment | Get your doctor's appointment easily.
Inspiration
=> My inspiration was to learn something new through this hackathon.
What it does
=>It helps the people to get the appointment of a doctor in a hospital easily.
It will reduce many problems and also be helpfull for both the patients & the hospital workers.
How I built it
=> I built it using chatfuel.
Challenges I ran into
=>I have faced some new problems with the technologies.
Accomplishments that I'm proud of
=>I'm proud because I've made a chatbot. It will also be very helpfull fpr the people.
What I learned
=>I learned how to make a chatbot. I have also learned many things about the user interaction.
What's next for Doctor's appointment
=>In many third world countries,patients have faced many problems for getting an appointment of a doctor.
It is also considerd as a barrier for getting proper treatment.
So,I want to use this chatbot in those hospitals,so that the patients can get their treatment easily.
Built With
chatfuel
Try it out
m.me | Doctor's appointment | My bot will help the people to get the doctor's appointment easily.It will be very helpfull in the medical field. | ['Farhan Fuad'] | [] | ['chatfuel'] | 153 |
10,009 | https://devpost.com/software/droperbot | Inspiration
I saw many pages, online marketing companies that they used messenger chatbot to reply instantly to their
customers. In this epidemic situation, my university's all classes are going to online. We participate in our classes
through Zoom. To participate in these classes we require zoom id and passwords. So, I thought if I make a
chatbot like those pages, online marketing companies to supply zoom meeting link to my classmates that should be
a better option than calling our teachers regularly for meeting id and passwords.
What it does
It gives students their respective online class link. It also helps students to complete their registration for different
clubs of their institution.
How I built it
I built it with Chatfuel.
Challenges I ran into
I developed this bot so fast. As I had not much enough time for developing this bot. I faced slow internet problems.
Accomplishments that I'm proud of
I made this chatbot to help my classmates. They are very happy with this messenger chatbot. I am proud for this.
What I learned
How to develop a chatbot without any coding.
What's next for Great Bot Test
I will try to add Neural Language Processing in my chatbot. Hope NLP will develop my chatbot more.
Built With
chatfuel
Try it out
www.messenger.com | Great Bot Test | My bot will give students their online class link and it will help them to register for their university clubs. | ['Walid Bin Ataur Rahman Akash'] | [] | ['chatfuel'] | 154 |
10,009 | https://devpost.com/software/test-74n8y0 | Inspiration
Given the current lockdown status of the world, we tend to run out of things to do whilst waiting for our friends to reply on Messenger. So our team thought "Why not play a quick game without having to leave the app?", thus this idea. With QuizzyBot you can put your general knowledge to the test! Call on QuizzyBot to play a quick, fun quiz. Now you ensure you leave lockdown more educated than you were before you entered it!
What it does
At a high level: a user can request the Bot to ask them a question by sending the message "Ask me a question". After which they are presented with multiple potential answers to the question asked. If the user selects the correct answer then the Bot will congratulate them. Otherwise, if a wrong answer is submitted the Bot will inform them that it's wrong and give details of the write answer. The Bot will always give the user the option to ask for another question post evaluation.
How we built it
As messenger bots use webhooks to handle the messages that they received, we decided to use Express.js running in a Node application, as this is the industry standard for web servers, and especially for API servers. We have hosted in it Heroku as its free and simple to use, and is recommended in the documentation on how to deploy messenger webhook servers. We have made it completely stateless so we do not use a database and don't use any users data
The use of quick replies allowed us to let the players answer with a simple press of a button rather than having to type the answer. This also eliminated the risk of having a typo in answers.
Challenges we ran into
We ran into some issues getting QuizzyBot approved. Although it met all of Facebook's guide lines it was rejected without any proper explanation. Regardless, we didn't let this discourage us - rather, we saw this as an opportunity, so we made improvements to the application (still within guidelines) given we had some time to properly test it before final submission.
Accomplishments that we're proud of
The Power of Friendship: Extremely sound teamwork and collaboration. Everybody managed to play a role and work effectively to make this happen. And of course, every engineer is always proud to be a part of the process in creating something cool!
What we learned
We learnt how easy it is to build a Facebook messenger bot which we can leverage in the future to improve our user engagement in a quick and easy way. The fact that quick replies are so quick to implement and improve the end user's experience makes them invaluable and means that there is a less chance of users sending messages that our bot won't recognise
Beyond the technical know-how, we learnt how to effectively manage the team so that there was maximum through-put - especially because we were extremely limited on time.
What's next for QuizzyBot
We could expand QuizzyBot to be a more robust ChatBot that could perhaps be able to be a Quiz Master for a whole group of people. If it wasn't for time, we would've integrated this with Instagram/WhatsApp by using the Handover Protocol.
Built With
express.js
heroku
node.js | QuizzyBot | Put your general knowledge to the test! Can you beat the Bot? | ['kapilpau Pau', 'Yusuf Pholby', 'aathithayanantha', 'Pro Tukala'] | [] | ['express.js', 'heroku', 'node.js'] | 155 |
10,009 | https://devpost.com/software/e-study | E-Study
Inspiration
In this pandemic situation many of my friends are in rural area where network & internet service is too low .However in this current situation of lockdown they can't go outside .That's why a major of them use free messenger.My service is too short & give them quick & correct information in a while in free messenger.
What it does
This give them correct & quick way to know there schedule & all others.
How I built it
i built it by using chatfuel & just little more using others.
Challenges I ran into
Not so much but in this i try my best & understand what problem basically face remote areas people in this pandemic situation.
Accomplishments that I'm proud of
That's very much interesting to me because this is my 1st time that I participate a big event like facebook hackathon.
What I learned
I learned how to use chatbot in many cases in social media specially in messenger that's reduce our time & give service to my providers more efficiently.
What's next for E-Study
I will try to update it & make it more informatic & user friendly.
Built With
chatfuel
Try it out
m.me | E-Study | This is a messenger based chatbot Education service. | ['Md. Mostafizur Rahman'] | [] | ['chatfuel'] | 156 |
10,009 | https://devpost.com/software/daak-ghar | Quick Reply Feature
Welcome Screen
Notification Feature
Inspiration
As many people have facebook account but they dont know how much amount of case had been increased in the state
What it does
It take the data from covid 19 API and provide the report of total case and also cases of last 24 hours
How I built it
I Used webmethod product which provide way to access REST API of of any service. Hence i used covid 19 INDIA API and built on that data
Challenges I ran into
How to maintain user conversation session
Accomplishments that I'm proud of
I am able to succesfully create notification for increase of data
What I learned
I am new to facebook messnger developer part, I gone throuh various feature from Get started page of messenger developer
What's next for COVID-19 INDIA Report
To create graphical information and to provide data based on district wise(More deep data rather than statewise)
Built With
node.js
webmethods | COVID-19 INDIA Helpdesk Representative | To provide update on case statistics with respect to states of INDIA | ['hemendar-web', 'Pradeep Jain'] | [] | ['node.js', 'webmethods'] | 157 |
10,009 | https://devpost.com/software/dancetown | Our Multi-International Team!
1. Inspiration
We wanted to engage users who are bored and stuck at home during COVID-19 with a fun social activity.
2. What it does
It's an app that allows users to challenge their friends using the poke to a dance-off, TikTok style. We created a chatbot that takes you from sitting at home alone and bored to getting funky with your friends. Check out our demo for walk through of the chatbot. Here is a list of features in our messenger application.
View global trending challenges
Start a new challenge
Give a dare to your friends to complete your funky challenges
An exceptionally friendly bot with a great memory (MongoDB)
A web application integrated within DanceTown to facilitate easier communication (React and Amazon S3)
3. How we built it
3.1 Tech Stack
Our project can be divided into 2 different components: the Facebook messenger and the DanceTown web application. The web application has a React frontend and a backend made using Amazon Lambda (for api creation), amplify (for authentication) and S3 (for storage). The DanceTown messenger application is made with Facebook messenger (for user interaction), NodeJS (for user flow) and MongoDB (for user chat history tracking). Eventually, deployed the messenger backend on Heroku (for universal accessibility)
3.2 Our inner secrets
Aditi: Sprinkle of rainbow iced with excitement
Dat: Energy = Coffee * Milk ^2
Zhanxi: Sweat equity and unicorn puffs!
4. Challenges we ran into
Aditi: Connecting each user to a user schema that kept track of the conversation. Eventually, it was made possible using MongoDB. That was the most challenging part for me. Loved the journey!!
Dat: I had a hard time configuring permission to make posts public on the Web App while keeping the content only accessible through Auth method. Creating an all out website with functional front end and back end in several weeks was hard but also very rewarding.
Zhanxi: We ran into a mix of challenges with technical aspects of the app, but bc we had strong vision for what we wanted to create and make for users, we kept the end game in mind and created something that we're all really proud of.
5. Accomplishments that we're proud of
Aditi: A chatbot that connects well to the DanceTown web application. We added an aspect of fun to a mundane activity like messaging. And I must say I loved our team spirit.
Dat: Initially, we only planned to have a static website as a host for the chatbot links. However, I was able to convince the team to make it into a functional web app that follows our initial vision.
Zhanxi: When we fell into stride with working together, it was super magic! I'm really proud of my teammates for overcoming all the bugs, frustrations, and the errors they ran into. They're totally awesome.
6. What we learned
Aditi: Not giving up is the biggest factor that leads to success. We should continue to work hard until we have achieved our goals. I could not imagine that this was possible if all of us didn't have the right mindset or wasn't equally passionate. Cheers to a great team.
Dat: I believe that setting a goal that is more than what we were capable of helped us to be creative and more efficient on our tasks. And communication is the key to ease out the frustrations whenever the code stopped.
Zhanxi: The right sort of team communication is REALLY important. It's important to have a team that will allow you to make mistakes and be forgiving, while being super understanding. Also, underpromise and overdeliver :)
7. What's next for DanceTown
We are setting fire to the rain. We are sharing this idea with potential users to get them to work through the app and give user feedback. We will also need good logos, graphics, and animation to promote our idea on our page, and then we are pitching this idea to you so that you can link our webapp to the Facebook Poke xD
7.1 Possible features to be added in future
A game mode to view friend's status of challenge completion
A leaderboard to compare your performance with others
Game points that can be redeemed for rewards
Built With
amazon-web-services
facebook-login-api
facebook-messenger
git
github
heroku
mongodb
node.js
Try it out
m.me
github.com
github.com | DanceTown: Get Funky | We want the Facebook poke button to allow users to dance challenge each other to a dance-off. | ['Zhanxi Ni', 'Chien Dat Nguyen Dinh', 'Aditi Saini'] | [] | ['amazon-web-services', 'facebook-login-api', 'facebook-messenger', 'git', 'github', 'heroku', 'mongodb', 'node.js'] | 158 |
10,009 | https://devpost.com/software/foodie-87auh9 | Screenshots
Screenshots
Screenshots
Inspiration
Foodie! is inspired by the possibility of building an interactive all-in-one cooking and meal planning assistant. We made it as human-like as possible
What it does
Sometimes, we feel like cooking a particular food so bad but don't know how. We can easily get the recipe instructions and ingredient by sending the name of the food or picture of the food.
At times, we don't know the name of the food but we have a picture of the food, Foodie! uses computer vision to detect the food in the picture and suggest a recipe on how to go about cooking. In the case of using the name.
How we built it
Messenger platform
nodeJs for backend
Heroku for deployment
Spoonacular API for recipe instructions and deployment
Wit.ai for natural language processing
## Challenges we ran into
There's a limit to the category of food that can be detected since there's thousands of different classification category.
Trying to keep track of state.
## Accomplishments that we're proud of
We're proud of building a product that have the potential of making a positive impact in the world.
## What we learned
We're all first-timers with chat bot, we learned a lot about building conversational chat bots on the messenger platform.
## What's next for Foodie!
We plan on adding meal planning features over a specific period of time which will be available for premium subscribers.
Improve the food detection ability of foodie!
Improved NLP for more natural flow of dialogues
Built With
heroku
node.js
spoonacular
wit.ai
Try it out
m.me | Foodie! | Foodie! is an interactive bot that teaches how to cook a food based on the picture or name of the food | ['Moshood Abidemi', 'Faruk Gbolahan', 'Olaoye Victor'] | [] | ['heroku', 'node.js', 'spoonacular', 'wit.ai'] | 159 |
10,009 | https://devpost.com/software/sticker-bot | Create Sicker dialogue.
Sticker creation.
List stickers for sharing.
List stickers for edit.
Add emoji to a sticker with the editor.
Sticker editor view.
Add animated gifs to the sticker.
List sticker for deletion.
Delete a sticker.
Help.
About.
Inspiration
A picture they say contains a thousand words. Most times, responding with a sticker is the perfect reply that conveys the sender's unexplainable expression to a chat message. It spices things up and also an excellent medium to send messages you can't tell with words, for example; memes, surprise expressions, funny moments.
Interestingly, Messenger sticker feature is limited. As I write Messenger out of the box does not support user-made stickers, only the predefined ones from Facebook compared to other popular chat apps like Whatsapp and Telegram that supports user-made Stickers. We decided we could solve this somehow; Our solution was to build a chatbot that brings this feature to Messenger.
What it does
Sticker Bot is a Messenger chatbot that enables it, users, to make, manage and share user-made stickers. Under the hood, it uses Machine Learning (ML) to make stickers from the picture you send to it. Also provides its users with a sticker editor to edit their Sticker. With the editor, users can add texts, emojis and also create animated Stickers.
"Any product that needs a manual to work is broken" (Elon Musk)
In other to make the bot easy to use and very engaging, we heavily use
Facebook Quick Replies:
To suggest what the user wants to do.
To give users options.
To confirm an action, for example, deleting a Sticker.
Ultimately, using Quick replies, we were able to make the bot very simple by eliminating the need for typing text commands. We believe text commands are only for savvy power users. If a user likes to use text commands for example, "edit", "delete", "manage", help e.t.c the bot understands and will reply as well.
How we built it
The Messenger bot, developed with Node.JS, Facebook Send API and Quick replies, Goggle Cloud storage to backup stickers and MongoDB Atlas to keep records of Stickers made by users.
The Sticker making module is a Python server which provides a deep learning network for Image Segmentation. It extracts objects from a picture, then uses OpenCV to add sticker effects to the extracted images. The resulting Stickers returned to the user as an attachment.
We also build a Sticker editor. We paid attention to details; the editor is a replica of Messenger's in-app picture editor. We did this to give our users a familiar experience. The editor is developed with ReactJS and HTML5 Canvas API to provide users with a cross-platform facility to edit their Stickers. The editor is deployed on the Web so that our mobile users can use Messenger's in-app browser to launch the editor. Also, users using Messenger on a Web browser can equally use the editor to edit their stickers right there in a browser tab.
Sticker Bot relies on Messenger's share feature for sharing stickers. It allows users to share them with other users in their contact list.
Challenges we ran into
Some of the challenges we ran into were mostly optimization issues. We were able to solve them with extra effort.
An example is when we wanted our Sticker Creator module to extract up to four objects in an image and be able to do this as fast as possible. We were able to achieve this by fine-tuning our model. As a result, up to four stickers stencilled out of a picture in 30 seconds.
What's next for Sticker Bot
We hope to make Sticker bot into a fully-fledged product after the hack-a-ton. Ultimately, we wish to continue to run the service.
Built With
facebook-quick-replies
facebook-send-api
flask
google-cloud
netlify
node.js
python
react
tensorflow
Try it out
m.me | Sticker Bot - Chatbot for making, sharing user-made stickers | A Messenger bot for creating and sharing user-made stickers. Sticker Bot makes it possible for Messenger users to create, edit, manage and share stickers. | ['Philip Olufunmilayo', 'Shammar Kayode-Ige', 'Victor Aremu'] | [] | ['facebook-quick-replies', 'facebook-send-api', 'flask', 'google-cloud', 'netlify', 'node.js', 'python', 'react', 'tensorflow'] | 160 |
10,009 | https://devpost.com/software/localize-4sfajy | Self-service
Be a volunteer
Need for volunteers
Selection of timeslots for need for volunteers
Modified One Time Notification to Notify people who need volunteers that their order has been accepted
Carousel for shops in self-service
Booking time slots for booking slots in self-service
An example of QR code generated.
Use of Quick Replies for faster movement
Inspiration
The geography of the whole has changed due to
COVID-19
. This has affected people from all stretches of life. Localize was inspired by a real-life incident which happened in the month of May. In India, due to such a large population, the government had to impose strict lockdown across all the states. This led to a major panic everywhere. The major issue was the availability of day to day items and how will people buy them from shops given the conditions of
social distancing
.
The social-distancing rules were as follows-
No travelling either by cars, bikes, trains or flights.
The stores were also not allowed to deliver items and neither were the third party professional delivery services allowed. This was done because, in one of the cases, the delivery person of a famous pizza serving food-chain was infected with COVID-19 in Delhi (
source
).
6 feet
distancing is mandatory in public.
Curfew after 7 PM.
Shops can only open from 9 AM to 6:30 PM.
The shops came out with a plan which is as follows -
People will stand in circles marked on the ground, outside the shop. These circles will be 6 feet apart.
This solution had multiple issues. They are as follows-
Only 2 people were allowed at a time in the shop for shopping.
People still did shopping in a leisurely manner. In some cases, when I went for buying groceries, people in front of the line would shop for
45 minutes
and came out with just a few vegetables.
The temperature in India reaches more than
104°F
or
40°C
. People have to stand in line under the sun for an unknown amount of time.
People who get tired, usually sit near a tree with very less space between them (less than 6 feet)
violating the social distancing rule
.
Police brutality
- There have been many
cases
, where police went to extreme measures and beat up people who were just going to buy groceries. Some more sources are as follows-
Cop suspended for beating women at ration shop in Noida
Indian man shopping for milk under curfew dies after alleged police beating
India Doesn't Have a System To Make Sure People Are Out for the Right Reasons During the Lockdown
Delivery personnel beaten up by police as people struggle for essential goods
And many more...
The people who are most affected by this situation are-
Elderly people - In the local news, a
75-year-old
man had to stand under the sun, waiting for his turn to buy groceries for
2
days. On the
3rd
day, he fainted and had to be rushed to a hospital.
People with disability
People who were victims of the above-mentioned police brutality.
I went through the stats and as per the
source
, India has more than
280 million Facebook Messenger
users. This can be leveraged to create a
proper
and
reliable
system that eliminates this
chaos
.
Requirement Analysis
We need a
no contact
based system to remove this chaos. We are going for
QR code
based access.
Talked to a few managers and owners of our local shops and grocery stores. They told that people usually shop for
15 to 20 minutes
. Apart from that, they just go through
offers
and look for anything
new
.
Also, people usually come again to the shop after
3-7 day
after buying groceries.
We need something with a low learning curve which can be taught to the users very easily.
To keep the grocery shopping local to prevent travelling.
To prevent police brutality by having a system which is can be shown to them saying "I am going to buy groceries."
What it does
Localize
is divided into
3
parts. They are as follows -
Self-service
- Here the user can select the local stores in his area and select a timeslot accordingly. The path is as follows-
Enter your name -> Enter your approximate address -> Select the shops -> Select a time slot -> Download the QR Code -> Receive a token which is a backup for QR Code -> Visit that shop at the chosen timeslot -> Get the QR Code scanned -> Shop -> Bill -> Leave
Here, we have used the QR Code for no contact system. The time slots are from 9 AM to 6:30 PM divided into
15 minutes
slots. This allows
38
customers to shop in a day at a single shop/store. It has reduced the chaos by a very large extent and when asked by the police officials, a person can show the proof.
Need for volunteers
- Here the user can ask for help from nearby volunteers. This option is very helpful for people who can not physically go to the store for legit reasons like
old age
,
people with disabilities
or for
people with special needs
. The path is as follows-
Self-certification for COVID-19 -> Enter your name -> Enter your approximate address -> Enter items that you need (example - I need apples, oranges, flour and carrots) -> Select a time slot -> Click on "Notify Me" -> Wait for volunteer to accept order
Here, we have asked the people who need volunteers to self-certify that people have shown no COVID-19 symptoms in the past
14 days
and to be polite to the volunteers and treat them with respect. Here, the time slots have been increased to
1 hour
slots to prevent any pressure on the
volunteers
and to provide a smooth experience.
Also, the "Notify me" feature was added so that the people who need volunteers can contact with the volunteers and discuss the issue.
Be a volunteer
- Here the user can choose to help people in need by being a volunteer. The deliveries needed are shown in a sorted manner according to the distance. The path is as follows-
Self-certification for COVID-19 -> Enter your name -> Enter your phone number -> Enter your approximate address -> See delivery list along with time slots, items needed, name, address and distance -> Accept a delivery
NOTE
- The
wit.ai
model has been trained on Indian phone numbers only. You can try a test number as shown in video.
After accepting the delivery, the user whos delivery got accepted will receive a notification to contact the volunteer.
NOTE
- The volunteer will then go to
self-service
option and follow those steps.
You can not only go for groceries, but also for medicines and all other shops nearby.
You can also say
hello
to restart the bot. Apart from that, everything works on quick replies to make the process
easier
and
faster
.
How I built it
This is my first try at creating a Facebook messenger chatbot. I tried to make it as simple and useful as possible with an idea that can be highly impactful at such times. The tech-stack and implementation choices are as follows-
For hosting, we made use of
Heroku
.
Node.js
helped in fast development.
Draw.io
was used to visualize the different paths.
Google's Places API
was used for suggesting nearby places and calculating approximate distance.
Google's Geocoding and Reverse Geocoding API
was used to convert the addresses to calculate distance and nearby places.
MongoDB
as a database.
One Time Notification
was used.
Quick reply
was used.
wit.ai
for capturing names, addresses, items and phone numbers.
Webview
was used to display large contents like
deliveries
and
timeslots
.
After this, we had to set up the logic of the bot.
First of all, I drew the path and performed requirement analysis for this issue. This helped me to divide the service into 3 parts -
Self-service
,
Need for volunteers
and
Be a volunteer
.
The issue of creating a separate database for timeslots. This is accessed by the self-service database.
Training and validating
wit.ai
for handling addresses. It required a lot of patience as some Indian names were not being processed accurately along with some locations. It had to be trained for items and phone numbers too. In some cases, it was taking
items
as
names
.
Challenges I ran into
Some of the challenges that I faced are mostly related to approval issues. Due to COVID-19, the approval is slow and hence I had to roll the bot out in
Development Mode
only and I have given access to
499418056 and stef.devpost.1
.
Modifying the One Time Notification issue to Notify the user when their delivery has been accepted. The Facebook Messenger Documentation helped a lot.
Displaying of large content on messenger was not feasible at all. So we had to experiment and finally decided to go with webview.
The most important part is to
reset
the timeslots at
8 PM (IST)
so that people can select shops again. Solved it by keeping a timer.
Accomplishments that I'm proud of
I was able to understand the issue and due to such a scalable and impactful platform like Facebook messenger, I was able to implement it.
The future prospects of this bot and how it will help the
people
and the
business
excites me.
What I learned
I learnt a lot of new things since it is my first try at messenger bot. I learnt about various things ranging from working with different APIs which are provided by Facebook, training wit.ai, experimenting with the
Graph API
, creating a fully functional messenger bot and tinkering with the APIs.
What's next for Localize
Talk and showcasing the bot to the managers and owners of local establishments.
Talk with the local police force and discuss the acknowledgement of the project.
Rolling the bot out publicly for usage.
Spreading awareness about the bot so that people start to use it.
Adding
private reply
feature after acceptance.
Train in on multiple models using
wit.ai
. For example, as of now, it is trained on Indian mobile phone numbers.
Built With
facebook-messenger
google-maps
graph-api
heroku
javascript
node.js
webview
wit.ai
Try it out
github.com
m.me | Localize | Bringing order and helping others at the time of chaos | ['Sayak Kundu'] | [] | ['facebook-messenger', 'google-maps', 'graph-api', 'heroku', 'javascript', 'node.js', 'webview', 'wit.ai'] | 161 |
10,009 | https://devpost.com/software/scholar-articles | logo
Open Library
Google Scholar
Microsoft Academic
Google Book
Core
Semantic Scholar
SciElo
Dimensions
Start chat
Inspiration
I was working on a research paper and found it very difficult to find relevant information.
If you ask any researcher which online outlets they use to find relevant journal articles, there’s a good chance that **Google Scholar** will be at the top of their list.
So I went to that platform and search for the articles and bang. 1000+ relevant documents were there based on the number of citations and other metrics. I found it very useful. From that place, I thought That how cool it would be if other sites like google scholar brought together and use for scholars help in research, and academics.
What it does
Just start with the message "hi" or "hello". And the Bot asks you either you want to search Book, Article or Author and you quick_reply this. If the user selects to search for an article then bot asks users to enter the article name. Then it shows the results from the websites Like - Open Library(collection of more than 10 million papers), Google Scholar(more than 10 millions scholars and authors), Semantic Scholar, Microsoft Academics, Core, Google Books, SciElo, and Dimensions to show results thus the user can easily get 1000+ articles on that topic. The same applies to Authors If the user wants to search a particular author, then he will enter the Author's name, and the results from Google Scholar and the open library will be there and then he can choose any.
How I built it
I have used FLASK to build the webhook for messenger. I have used 'pywit' for WIT.AI integration with messenger bot. I have used generic templates for reply Authors, Books, and Articles. I have used the "Quick Reply" feature with my chatbot. I have defined three main classes for the search mentioned above. Then I started research on websites that can help the students and researchers in their projects. And I added those in the project to enrich the chatbot more.
Challenges I ran into
This part is always a little dramatic in the world of development. I had no experience if building messenger bot before starting this project. So I have to start from 0. First I Preprocess the user message, this is a very important part. At the very beginning user says "hi". Users have to start with "hi" or "hello" then the bot will continue its talk. I have to learn about generic templates and implement them. The research was the most challenging part of this project as I am going to help so many researchers in their project so it is inevitable that my project will need a lot of research too.
Accomplishments that I'm proud of
To be honest when I started it I never thought that I would be able to submit before the hackathon. It takes 2 days to simply getting a user message as an echo. But I completed it finally and I completed it well. I am submitting my first ever messenger bot, and directly to the Facebook hackathon, And I am totally satisfied with what I made. This is really proud of me to accomplish this project with such satisfaction.
What I learned
I have learned how to prepare and submit for a hackathon which is organized by The FACEBOOK. I have learned to build a messenger bot with generic templates and a quick reply that is useful in the real world. I have learned not to lose patience while 1 week of work makes no sense but the first day of 2nd week will change everything. And also I have learned about a lot of websites that are useful for searching journals. And learning.
What's next
I will enrich the bot more by scrapping the real-time data from the websites and use wit.ai more effectively to make bot more responsive, accurate, and effective. And then more people will be benefited by this bot with more accuracy.
Built With
academic-benchmarks
article
articles
books
bot
facebook-messenger
flask
google-scholar
journals
natural-language-processing
open-library
quick-reply
research
wit.ai
Try it out
github.com | Articles-Authors-Scholars | Google Scholar is one of the most used academic search engines in the world. Plan is to bring sites like google-scholar at a single place and save time of researchers in finding useful resource. | ['Sundaram Dubey'] | [] | ['academic-benchmarks', 'article', 'articles', 'books', 'bot', 'facebook-messenger', 'flask', 'google-scholar', 'journals', 'natural-language-processing', 'open-library', 'quick-reply', 'research', 'wit.ai'] | 162 |
10,009 | https://devpost.com/software/musical-bot | Inspiration
To provide a musical assistant to all Facebook users to recommend music as per the choices and mood.
In the current situation it has become more imperative that people engage themselves into a separate hobby and keep themselves relaxed.
As they say musical is a healer of soul, i plan to build a system which understands user's mood and helps to rejuvenate a saddened soul
What it does
Right now it displays the videos as per the choice term entered by the users. It searches youtube and recommends youtube videos.
It also reacts on user's mood and urges to hear music if user's mood is bad.
I have used Facebook messenger's NLP feature for this
How I built it
I have used botkit framework and it's Facebook adapter to build the bot.
Development is done in Nodejs.
The bot/application is deployed on Heroku's free tier.
Challenges I ran into
To understand the botkit framework and Facebook messenger framework.
Accomplishments that I'm proud of
Building this whole bot and then integrating this with Facebook messenger.
My bot have been also able to understand the user's sentiments through NLP.
What I learned
I learnt how to develop a bot.
I learnt how to integrate with Facebook messenger
What's next for Musical Bot
Its just an initial MVP. The bot has lot of other potential. Following are my next plans.
Integrate with other music APIs such as Spotify and Soundcloud.
Understand user's mood and recommend music as per the mood. For e.g. if the current mood/sentiment identified through NLP is negative. I plan to recommend videos which will cheer up the mood.
Customize the NLP with some data sets to get a dimensions like music. This can recommend sub genres of music based like Jazz, Hip Hop etc.
Built With
botkit
facebook-messenger
node.js
Try it out
musicalbotsaurav.herokuapp.com | Musical Bot | A musical digital assistant which will recommend videos as per your choices and mood. | ['Saurav Sarkar'] | [] | ['botkit', 'facebook-messenger', 'node.js'] | 163 |
10,009 | https://devpost.com/software/roms-messenger-ordering-for-restaurants | GIF
Screenshots
Inspiration
Messaging based restaurant ordering platforms have a big potential to streamline restaurant operations and increase customer satisfaction (by reducing waiting time).
What it does
In short, ROMS is a Facebook Messenger Ordering Platform Tailored for Restaurants.
For shoppers, ROMS allows for convenient & cashless ordering of food and beverages using the app they already have, Facebook Messenger. There will be no need for them to install a new app, login, or sign-up, and in addition, they can get cashback rewards.
For restaurants. ROMS can reduce queues, shorten customers’ wait time, increase customer’s satisfaction and eventually boost sales. Coupled with increase worker’s productivity (no time wasted “waiting” on customers to pick their orders), ROMS will be key to increase restaurant’s profitability.
How We built it
We use node.js backend with Express for rapid prototyping.
We use React SPA (with React Router) blazing fast front-end.
We use Material UI framework for styling.
For database, we use MongoDB NoSQL for scalability and flexible schema
We host everything in Google App Engine and MongoDB Atlas
We use Stripe for payment
We use Messenger webhook APIs:
Generic template
Button template
Webview
Persistent Menu
One-time Notification
Challenges We ran into
One Big challenge is to keep user’s credit card information secure. We employ dual tokens (1 long-lived, 1 checkout session token) to guard against malicious perpetrators whilst still making the checkout experience seamless. We also had to fully utilize Stripe APIs to securely process credit cards.
Another big challenge is to have a usable restaurant admin dashboard which synchronises well on new orders. We had to spend time designing a user-friendly dashboard which can improve worker’s productivity.
Finally, the biggest challenge is how to send reminders to users on expiring cashbacks to drive their engagement. Fortunately, messenger has the one-time notification API which is suitable for this use-case.
Accomplishments that We’re proud of
The Bot is fully functional with the restaurant admin dashboard included. There might be bugs, but we even tested beyond the happy flow (e.g. cancelled order and expired orders).
Not only will the Bot solve a real business problem (long queues causing shoppers to balk and increase restaurant workers productivity), it will potentially solve the safe distancing issue (in COVID 19 times) by reducing overcrowding and providing a convenient and contactless checkout.
Very proud of very sleek and fast UX thanks to React.
Finally, we’re proud that we even think of the user's privacy and security. For example, we don’t reveal the user's full name in the restaurant dashboard (just initials) and we don’t store the user's credit card and instead, rely on the secure Stripe token mechanism.
What We learned
We learned many small tricks which can greatly improve Messenger user experience. For example:
Using one-time notification feature (still in BETA)
Disabling text composer to limit, yet focus user’s interaction
Blend webview and native messages to get best of both worlds
Using emojis to add “color” and add visual cues to your otherwise plain text message
We learned node js (express) and MongoDB with React and Material UI front-end. I.e. MERN Stack
We learned deployment in Google Cloud App Engine (including crons) and MongoDB Atlas.
What's next for ROMS - Messenger Ordering for Restaurants
We will try to market it to restaurants in Singapore (where we’re based in). If we’re successful, we’ll try to expand to other countries.
Right now, the product is just an MVP. We will enhance with important features such as internationalisation, order ticket printing support, or even integration with major restaurant cloud POS providers.
The product needs to be improved in terms of scalability (e.g. using Redis cache layer) to decrease latency.
Built With
google-cloud
javascript
material-design
mongodb
node.js
react
stripe
Try it out
roms-bot.com | ROMS - Messenger Ordering for Restaurants | Bust Queue, Delight Customer, Boost Sales with Convenient, Cashless, Cashback-powered platform | ['Wendy Chee', 'Tom Chee'] | [] | ['google-cloud', 'javascript', 'material-design', 'mongodb', 'node.js', 'react', 'stripe'] | 164 |
10,009 | https://devpost.com/software/peek-chatbot | Peek Chat Bot Landing Page
"Get Started"
Chat Bot experience
Webview Experience
Inspiration
I built Peek during a previous hackathon but I believed that a ChatBot would make it more accessible to users.
What it does
When a user logs on to the app, they are prompted for their destination.
A prediction of how crowded the location is expected to be at the time the prompt was entered is then displayed.
The prediction is computed relative to the expected minimum and maximum number of people (This information is obtained using the populartimes API)
A one-time notification is sent 24 hours after the user's last interaction with the bot (If the user subscribes to one-time notifications). The notification essentially reminds the user to use Peek to check out their destination (this is geared towards helping the user build a habit of using peek)
How I built it
The git repository is hosted on Heroku and connected to a Facebook app which is also linked to Peek's Facebook page.
Users can access the bot through the Peek Facebook page in messenger.
Messages are sent/received via the Messenger webhook API defined inside the express backend.
Challenges I ran into
Due to the calls being made to external APIs certain variables were not being updated synchronously.
I tried Promises and Async/Await but the responses were still not updating on time.
Eventually, I used
setTimeouts
to delay the responding functions until the variables(e.g prediction results, google places search results, etc.) were updated.
I also had to study various new messenger features such as buttons, postbacks, one time notifications, etc.
Accomplishments that I'm proud of
Built my first messenger bot and it works.
What I learned
Using environment variables
Javscript async functions
Javascript promises
Messenger bot development
What's next for Peek Chatbot
Increase location suggestion accuracy for the Bot.
Build a mobile platform for Peek
Built With
express.js
google-maps
google-places
heroku
messenger-one-time-notifications
node.js
peek-api
Try it out
m.me
github.com | Peek Chatbot | Stay safe by avoiding crowded places. | ['Glory Adedayo'] | [] | ['express.js', 'google-maps', 'google-places', 'heroku', 'messenger-one-time-notifications', 'node.js', 'peek-api'] | 165 |
10,009 | https://devpost.com/software/shortify-vcgzo5 | Inspiration
I am a beginner but always wanted to participate in a facebook hackathon.
What it does
It shortens your URL.
How I built it
It is built with Vue in the frontend ,nodejs in the backend and mongo for the database
Challenges I ran into
The deployment part was a major challenge
Accomplishments that I'm proud of
Having been able to build this as a full stack app, even though being a beginner.
Built With
css
html5
javascript
mongodb
vue
Try it out
url-shortify1.herokuapp.com | Shortify | Shortens your url | ['Rishabh Gupta'] | [] | ['css', 'html5', 'javascript', 'mongodb', 'vue'] | 166 |
10,009 | https://devpost.com/software/live-plasma | Live Plasma Bangladesh
Inspiration
During this time of pandemic, people are desperate to save lives and help others. Thousand of posts are posted every day on Facebook groups seeking plasmas and other live-saving elements. To make the process a bit more efficient and organized this chatbot is made. It collects the plasma donors data and then delivers this information to the plasma seekers after authenticating by the admin for easy access to everyone.
What it does
The person who wants to donate plasma visits and registers his information. Then when it is verified the person seeking the plasma shall get all the information and be able to contact him for the required plasma.
How I built it
I collected the user data and stored it in google sheets through chatfuel.
I also stored the data in my firebase cloud store. I have maintained a google sheet for easier access and sharing.
Then when a user seeks plasma we deliver the required information matching the blood type sorted by area.
Challenges I ran into
It was quite challenging for me to sort out the matters as it was my first time working with such kind of thing.
I had to find out all the processes only to come to know that my free tier does not allow me to do this and that from time to time and had to start over with new ways and solutions.
Testing the apis as they behaved differently many a time.
To show only the verified donors.
Accomplishments that I'm proud of
I am proud to able to make this kind of thing that has the possibility of changing lives and helping people in their desperate times. Blood collection, ICU availability checker, and much more can be achieved through this.
I am proud to be a part of it.
At last, I was able to introduce admin access that could prevent the misuse of the information.
What I learned
No idea is small enough and we all possess many great powers, we only need to use them properly.
By iterating through the possibilities new ideas come by on the way and if we try a bit then we can reach new horizons.
What's next for Live-Plasma
I want to spread it all around so that it can help even a larger group of people.
Built With
chatfuel
firebase
node.js
Try it out
m.me | Live-Plasma | We collect information about authenticated plasma providers and try to bridge the gap by reaching it to the required people. | ['Saad Bin Johir'] | [] | ['chatfuel', 'firebase', 'node.js'] | 167 |
10,009 | https://devpost.com/software/covid-19-help-center-chat-bot | Here it is my chatfuel directory and all blocks i used in my chat-bot
Inspiration
Now a days COVID-19 crisis getting grievous day by day. Here is a initiative to help people by serving COVID-19 related information.Thousands of COVID-19 patients die every day due to lack of ICU. Patients are not able to go out for lockdown and buy necessary medicines. So I wanted to help patients with necessary information.
This public service is absolutely free for our people.People can check out your necessary information very easily.
What it does
This Chat-bot will provide three types of cooperation, regular corona update, emergency service, health service.
The work of 'Corona Update' will give the number of people who are infected in Bangladesh every day, how many people have recovered, how many people have died.
Emergency Service's job is to provide emergency ambulance services, buy medicine online, help provide ICU services
A list of hospitals providing 'Corona' services in the medical care sector, arrangements for contacting doctors, and ways to contact the 'Corona Test Center
How I built it
I have used the 'chat-fuel' platform to create this 'chat-bot'. Every information used here has been collected from the Ministry of Health of Bangladesh
Challenges I ran into
The 'chat fuel' platform for making 'chat-bot' was new to me. So it was a little difficult. The 'chat bot' has to be presented in a simple way to make it user friendly. It has taken some time to use the information of the chat bot after verifying the accuracy of the Ministry of Health.
Accomplishments that I'm proud of
I can see that many people are using my 'Chat-bot', and getting information about 'Corona' which is something to be proud of. I am happy to be able to help people in this predicament
What I learned
For the first time I learned to make a 'chat-bot'. And learn how to present in a user friendly way. And I learned about the health system in Bangladesh during the Corona period
What's next for COVID-19 Help center-(chat bot)
I want to further develop 'chatbot'. And not just corona information, I want to help people by providing all kinds of health care information in the future
Built With
chat-fuel
qucik-reply
Try it out
chatfuel.com | COVID-19 Help center-(chat bot) | Now a days COVID-19 crisis getting grievous day by day. Heath awareness is the most significant issue in our country. Here is a initiative to help people by serving COVID-19 related information. | ['Tabia Tanzin'] | [] | ['chat-fuel', 'qucik-reply'] | 168 |
10,009 | https://devpost.com/software/e-health-service | E-Health
Inspiration
In this pandemic situation many of my friends are in rural area where network & internet service is too low .However in this current situation of lockdown they can't go outside .That's why a major of them use free messenger.My service is too short & give them quick & correct information in a while in free messenger.
What it does
This give them correct ,quick & simple solution to safe from covid 19 & other diseases.
How I built it
i built it by using chatfuel & just little more using others.
Challenges I ran into
Not so much but in this i try my best & understand what problem basically face remote areas people in this pandemic situation.
Accomplishments that I'm proud of
That's very much interesting to me because this is my 1st time that I participate a big event like facebook messaging hackathon.
What I learned
I learned how to use chatbot in many cases in social media specially in messenger that's reduce our time & give service to my providers more efficiently.
What's next for E-Health
I will try to update it & make it more informatic & user friendly.
Built With
chatfuel
Try it out
m.me | E-Health Service | This is a messenger based chatbot health service. | ['Md. Mostafizur Rahman'] | [] | ['chatfuel'] | 169 |
10,009 | https://devpost.com/software/get-rid-of-sadness | I'll be there for you.
Inspiration
In this modern world people often feel unheard,ignored and lonely.This causes them to feel sad and unworthy.We always wanted to help people to realize their worth and make them happy.Hence this chatbot will hear them and may uplift their spirit.
What it does
The chatbot will help people to get rid of depression. It is seen very often that sometimes we don't find anyone who would listen to our thoughts,ideas or with whom we can share our feelings. This bot can act as a friend by listening to those people and try to motivate them and uplift their mood.
How I built it
Our team built this bot using Chatfuel.
Challenges I ran into
As it was our first time building a chatbot, there were many things that we didn't know .But both of us had a lot of fun working in a team and we both overcame our challenges together.
Accomplishments that I'm proud of
We're proud of building a chatbot for the first time. Also we're glad to participate in this hackathon as we got a platform to showcase our talents and got to have a new experience.
What I learned
Both of us learned how to work as a team player and also learned how to work and submit projects in an international platform.
What's next for Get rid of sadness
For our first approach, we made this Chatbot to function in English. But we hope to work and make the chatbot respond to different languages. Since our mother tongue is Bangla, our next target would be to make this bot understand Bangla and respond more efficiently.
Built With
chatfuel
Try it out
m.me | Get rid of sadness | We always wanted to help people to realize their worth and make them happy.This chatbot will listen to what people have in their minds and may uplift their spirit. | ['Lamiya Tahsin Orpa', 'Rahanuma Ryaan Ferdous'] | [] | ['chatfuel'] | 170 |
10,009 | https://devpost.com/software/dilemmabot-a-bot-that-can-help-you-with-your-dilemmas | What you can achieve with the help of the bot
How to make use of the bot
How to submit your question
Why content moderation is useful
How Quick Replies feature is helping in improving both user and developer experience
How OTN is crucial for the app
How custom Wit.ai model helps in making the interactions with the bot more human like
How NotifyBot persona is useful for sending notifications without confusing the users
How edge cases are handled
Credibility Calculation function
Inspiration
I always wanted to build an app that could
help people make good decisions
because so many times we see(around us and in our lives) that it is a common problem to get stuck in dilemma about with option to choose in a given situation. A possible solution is to create a polling app that helps people create polls for others to participate in. This way people can get the idea of which option to go for from the poll results.
But here's the catch! Do polls really reflect honest, unbiased and un-opinionated results?
Clearly polls are good for questions where we want others' individual opinions, for e.g., when we want to how many people prefer a certain product and how many prefer the other one. But when we want help in deciding for ourselves and need a single best choice, we can't rely on these polls because they can be biased, and can reflect individual opinions and beliefs. Some people might just act mischievously and select the option that clearly appears as bad. These create noise in the outcome of the poll. Hence to bring, maybe not perfect, but a good surety that the polls actually represent the wisdom of the crowd as a whole and noise elements are curbed,
I mixed the concept of polling app with the concept of credibility scores to incentivize the users to think more rationally while answering in the poll instead of voting based on personal biases or mischievous behavior.
I believe this will help building a community that will in turn help each other solve several common problems in life. That's my goal.
What it does
The bot introduces a new way to interact with each other anonymously on Messenger by creating and answering polls.
It lets a person create polls where the user posts a question(using text and optionally images) along with some choices(max 5) for others to vote from. Others can participate in the poll and vote for the option they feel, more feasible and better for the situation. Finally, after the poll is ended, the person who created the poll gets the analysis in the form of a chart. The participants who opted in for getting notified about the results also receive the answer(not complete analysis). All participants will have their credibility scores(explained in next segment) updated and can ask the bot about it(once who opted in to be notified will be notified about the change explicitly, others will have ask the bot themselves to see if any change has come). A user can have only 1 ongoing poll.
The bot uses a smart credibility score calculation algorithm to bring good surety that the extreme cases in a poll don't leave much impact on the final outcome. This means that those who vote in favor of more extreme option(by extreme I mean, one that really appears as bad solution) have lesser impact on the poll result.
It needs atleast 2 users to test the above functionalities.
How I built it
Techstack for this project includes Typescript(Node.js) with Express.js framework, Ejs template engine and PostgresSql Database. I am using a custom trained model from Wit.ai for NLP and Cloud Vision API for image content moderation. For chart, I am making use of Chart.js library.
I divided the entire app into 2 major flows -
asking question/creating poll and answering question/participating in poll
. Apart from these 2 flows, there are other minor interactions as well such as Getting Started interaction, Fetching Credibility Scores interaction, Ending an ongoing poll interaction and Greeting interaction. For each interaction, I have implemented a separate function. The 2 major flows are further divided into states. The user while interacting in the flow transitions from one state to another. This states are handled in separate functions as well.
When user wants to start a new poll, his/her PSID gets stored in a Set data structure(instead of Array of better search time performance) and his/her question gets stored in a Map data structure(instead of simple objects for better search performance). Similarly the options also get stored in separate Map list. Finally, after all the inputs are made, the poll object(containing question and options as well as some extra variables for storing data like PSIDs of users who have voted in this poll) is created and stored on a queue. Now if a user asks for a poll, then a poll which this user has not participated in yet, is fetched.
The following pic describes the Credibility Scores calculation function -
The range of (0, 100) is only for showing credibility scores to users in a decimal point free manner. The actual credibility scores that the database stores for the users is in range (0.5, 1.5) and calculation of points for options use this range only. For e.g., the maximum increase in points for an option due to a single user can be 1.5(slightly less than it) and minimum can be 0.5(slightly more than it).
I also maintain a DB containing data of which state user is in and to store things like if current user has asked question previously, has answered polls previously,etc so that for users who are completely new, I can present long descriptive messages in every flow to explain things, and for those who have carried out the respective actions before, present short messages. This was to improve user experience.
PS: I made some last minute changes to the bot hence there is very slight difference between how analysis chart is labeled in the video and in the real bot. Also now one can post questions using both texts(atleast 80 alphabetic characters) and images(atmost 2). Lastly the video is slightly fast paced to reduce its length.
How custom Wit.ai model helped in making interactions more natural
Since this is a chatbot experience, hence the only way for users to use its features is through messages. Hence it becomes crucial that these interactions through messages feel natural to the user. The user should be able to talk to the bot without having to structure his/her message in a particular format to get things done. This is where, Wit.ai model plays crucial role. I have made use of custom Wit.ai's NLP model to understand what user wants to do. When that is known, a check is made that which state is the user in, when the message came. This helps the bot knows the context of the interaction with user and what role does his/her current message plays. If the user is in a flow and sends the message to exit it, then the bot understands that the user is in a particular state and wants to exit the state and go back to state 0. Hence appropriate functions are called for that. Similarly when user sends some text which does not correspond to any available commands and the user is currently in the asking question flow, the bot understands that the text is a part of the question user wants to ask, and hence acts accordingly. This way the bot is able to provide natural interaction experience to the users.
How Quick Replies feature helped in improving both developer and user experience
For ensuring that while participating in a poll, the user is able to vote for only one option and is able to do it conveniently without having to write entire option, I am making use of Quick Replies feature of messenger. This greatly improves user experience and eases my job to verify their input, because otherwise I would have to make several checks, since user might not type the entire answer word to word with proper punctuation marks.
How One Time Notification feature is crucial for the app
A user might participate in several polls one after the anther but may not want to get notified of every poll's outcome, hence I have added the interaction to the flow of answering question where the persona bot(I have mentioned in the Challenges section why I used persona) asks if the user wants to get notified. It is very likely that the creator of the poll might leave the poll open for a day or few, hence to ensure that the participants who opted in to get notified actually get notified, I am making use of One Time Notification feature of messenger. This way OTN feature plays a crucial role in the app.
How content moderation is carried out
Since the content that a user posts has the potential to reach a wide audience, it is very important to keep checks on the type of content user is posting.
For checking questions and the options submitted for any swear words, I am using a
Node.js library: bad-words
.
For keeping check on the images that user posts for any nsfw or adult content, I am using
Google Cloud Vision API
.
Lastly, for checking that the image user has posted doesn't contain any offensive text, I am using
Vision API
for text detection and then
bad-words
library for detecting swear words in the text.
Challenges I ran into
The biggest challenge was to create the flows and state transitions within them. Since there can multiple users interacting simultaneously, it was a huge challenge to maintain states properly so that all the requests could be handled properly. Organizing the code properly so that it could be extended later was very important. The state transitions of the users was tough to handle since there can be more than one state that user can land to from his/her current state. So this was the part where I spent most of the time thinking how to write the flows and state transitions.
A major challenge was training custom model in Wit.ai for my bot so that it can distinguish between user commands and user input(questions and choices) flawlessly. Even while in being in the flow of entering question, there is a possibility that user might want to end flow, so I had to ensure that the model was trained enough distinguish between a question and command to end the flow or command to do something else so that the bot can act accordingly. For example if the user enters command to participate in new poll while he/she is in middle of creating a poll then the model should be able to recognize it so that the bot can tell the user to that he/she needs to finish the current flow before starting another.
There are still some issues with Greetings interaction. Sometimes the bot confuses simple greetings with commands. Eg - 'Hello Bot' is greetings message but 'Hello Bot I would like to start a poll' is not. Hence to avoid confusion, I have trained the bot to recognize the latter statement as command but this has lead to bot not able to recognize greetings sometimes with good confidence. So that's a trade-off I made, to focus more on functionality. But I am working to fix it.
Design of the Credibility calculation algorithm had to be such so that the new credibility scores of the users are not significantly different from their previous values. Also the change for every user should be different based on how far their option was in terms of total points from the winning option. The further it was, greater should be the decrease and vice-versa. This design was challenging to come up with.
I also faced an issue related to user experience of the participants who opt in for getting notified about the poll results since its not predetermined when the poll creator will end the poll. So it might happen that some of these participants are in the middle of another flow, maybe creating their own polls, when creator decides to end his/her poll. This is problematic because the participants might get confused, if they are interrupted suddenly with the notification, about whether they should continue writing their question or restart the flow since its interrupted. One solution is to mention something like 'continue with whatever you are doing' at the end of the notification message. This will cover up both the cases when user is in the middle of the flow and when he/she isn't. But if DilemmaBot mentions this type of line in the message, then it makes conversation unnatural because it should appear as if the bot knows what's happening currently. Hence I created a separate persona NotifyBot whose sole job is to send notifications and tell the user to carry on with whatever he/she was doing.
Accomplishments that I'm proud of
I am very proud that I was able to create a chatbot experience that serves the functionalities of a traditional app using just the messages.
The concept of Credibility scores might not seem very novel since various apps make use of similar concept in the forms of upvotes/downvotes, likes/dislikes, etc. However I was able to come up with something that could be used with respect to polls, and I am proud of this.
Being absolute beginner in Machine Learning concepts, this was the first time I worked with NLP. This was challenging because I had to ensure the model was trained enough to distinguish between user questions and commands and not confuse the two as that would lead to bugs.
I am very happy to be able to build a complete product and not just a prototype. I was able to build the chatbot keeping in mind different ways user can interact with it. I have added
mark_seen
and
typing
signals to improve user experience. Although there might be some cases that I am missing but overall it was a great experience building the logical flow of the Messenger experience.
What I learned
I learnt how to create complex flows for a chatbot experience. The messages that comes from the user do not have the information about the previous conversations hence it was crucial to ensure that the bot keeps track of the conversations and design the state transitions and flows properly so that the interactions with the bot appear smooth instead of artificial. Although the bot replies using pre-programmed texts but how and where the bot uses these texts really makes the conversation very natural. For me building this type of experience was new.
I learnt to organize code(although I am still not very good at it). I had to write the appropriate functions for handling different states and commands, and it had to be in such a way that I could debug the code and extend it further without much trouble. This was challenging but somehow things worked out.
What's next for DilemmaBot
I tried to integrate sentiment analysis feature of Wit.ai to classify questions into 2 categories - Light Hearted(positive and neutral) and Serious(negative). However due to lack of expertise and data, I could not train it the way I wanted. The issue was that if a certain text had words like stress in it, then it would get classified as negative even though the issue might not be serious at all. We can't ask the user to tag the question himself/herself as he/she might not give correct tags. Hence I would like to collaborate with an expert in this field and add this feature. This feature would help separate serious issues from others so that they could be given better attention.
Right now the bot does not work with videos, however its likely that the users may want to use videos while creating polls, so I will work on adding support for this media element to the bot.
The concept of Credibility Scores does look promising but there are possibilities to improve it. So based on users' feedback I will work on further improving the concept so that I can offer better decision making bot.
As mentioned in the Challenges section, I still face some issues with the Greetings interaction. So I am working to fix that.
I have tried to cover many edge cases but still bugs can come up and also there can be more edge cases left to be covered, so I will work on solving those bugs and edge cases.
Credits and Attributions
Apoorva M K's ReWise bot was helpful in understanding the flow of the chatbot bot interactions.
Bell icon and Question mark icon for bot thumbnails were taken from
Flaticon.com made by Freepik
Used IPhone X mockup from
Mockuphone.
Built With
express.js
figma
google-cloud-vision-api
node.js
postgresql
typescript
wit.ai
Try it out
www.facebook.com
github.com | DilemmaBot - A bot that can help you with your dilemmas | Stuck in the dilemma of choices? So many options, you can't decide which one to go for? Don't worry, DilemmaBot is here to help you make good decisions by leveraging the power of 'Wisdom of the Crowd' | ['Prateek Jain'] | [] | ['express.js', 'figma', 'google-cloud-vision-api', 'node.js', 'postgresql', 'typescript', 'wit.ai'] | 171 |
10,009 | https://devpost.com/software/book-counsellor | Book Counsellor Bot Intro
Book Counsellor One-Time Notification Service
Inspiration
The idea behind the app is to make a recommendation system, there can be many different ideas for the recommendation system like food recommendation, tourist place recommendation, book recommendation etc., but this app has been created for all the Bookholics out there to recommend their perfect book match
What it does
Book Counsellor uses Facebook messenger platform to interact with the bookholics , the app analyze the individual's interest and specifications like type of book(fiction/ non-fiction), genre, any author preferences along with age specification and recommend some book-matches according to individual's preferences.
One more feature of this app is that it also gives the user the option to get a one time notification, in case the user doesn't get his/her perfect book match or is not satisfied by our recommendations. In future, if there is addition of books in our database that matches the user's past request, then a one-time notification suggesting the books (name and author) along with their respective genres will be sent to the user
How I built it
All the user interaction interfaces have been handled by Facebook Messenger Platform features perfectly. At backend, I have used
Django
to create the related webhooks and the functions for accessing various messenger APIs in order to send messages, used
Redis
in order to store message thread state for the particular user and for storing the books data and as a search engine, have used
Elasticsearch
.
The one time Notification feature has been built using Facebook's
One-Time Notification
and the
Elasticsearch percolator
.
Two main Facebook messenger platform features used are
Quick Replies
(for improving messaging experience) and
One-Time Notification
Challenges I ran into
Some challenges I ran into (in chronological order) - Maintain a message thread for good user experience, setting up elastic search search engine for getting the required query results, designing of one time notification feature by setting up elastic search percolator
Accomplishments that I'm proud of
I am proud of the fact that I can create full fledged recommendation system with the help of some awesome open-source technologies along with various Facebook's messenger platform features
What I learned
Honestly speaking, I learned about various features which Facebook Messenger provides, which can be used by businesses, firms and the individuals to create a very user-centric chat bot experience.
Also, I get to explore more about the open-source technologies which I have used in my project
What's next for Book Counsellor
Book Counsellor is at very initial stage at present, first and foremost have to stack up with lot more data and also there is more which can be done technically in order to built one of a kind recommender system , similar recommender system can be built for other genres like food, tourist places, music, movies etc or a common platform for all these genres can be built. Elasticsearch engine is the one area which can be progressively improved in order to obtain a query result nearing perfection. Also planning to inculcate Facebook Messenger's
Private Replies
feature to make the app more user-engaging through the facebook page, as user can post his/her thoughts on particular book and we will be asking the user to submit the book characteristics for our database.
Built With
django
elasticsearch
facebook-graph
facebook-messenger
redis
Try it out
github.com
www.messenger.com
www.facebook.com | Book Counsellor | A Book Suggestion Messenger Bot for all the bookaholics out there | ['Rishabh Mehrotra'] | [] | ['django', 'elasticsearch', 'facebook-graph', 'facebook-messenger', 'redis'] | 172 |
10,009 | https://devpost.com/software/preneur-book | An official helpline for young entrepreneurs.
Inspiration
We wanted to have a single platform to find the resources available for us and to provide the resources to the young students to inspire them to start a startup.
What it does
It gives replies back to its user according to their input.
How I built it
We built it with ChatFuel and used quick reply and during making this chatbot we learned many things about the platform and how a chatbot works.
Challenges I ran into
Making this we faced many problems and one of them is that we are four members from different regions in Bangladesh so we had to seat together and talked to each other through messenger to make this chatbot. As all of us were new to programming or coding, we thought that this chatbot couldn't be made without knowing to code. But we get to know that there is a platform ChatFuel by which we can make a simple ChatBot without any prior knowledge of coding. And it helped us a lot to make our dream chatbot. We are thankful to DevC Dhaka for letting us know about this online Hackathon.
Accomplishments that I'm proud of
We are happy that finally, we have made something that is helpful for us and for the young stars as well as students and we are happy that we have made something that we can share with our community, friends, and family.
What I learned
We learned that willingness to do something different is important. It's not the code that is needed, it's the spirit we needed. And yes it is true that we can do more things with coding to make this ChatBot more powerful and more user friendly. And we are working on it.
What's next for Preneur Book
We learned a lot from making this ChatBot and we are working on it to make it more user friendly.
Built With
chatfuel
coffee
Try it out
m.me | PRENEUR BOOK | We are just a helping guide for the young stars who want to be an aspiring entrepreneur. It is a quick reply bot and it replies on the demand of its user. | ['Obaidul Hoque Shovon', 'Mahfuzur Rahman', 'Sabyasachi Sarkar', 'Rafiur Alam'] | [] | ['chatfuel', 'coffee'] | 173 |
10,009 | https://devpost.com/software/fortnite-companion | Inspiration
We were inspired by the game Fortnite created by Epic Games. We wanted to have an easy way to access Fortnite data without having to login.
What it does
The Fortnite Companion is a Facebook Chat bot that can provide the user with Fortnite stats for a specific account, item shop details, map, and links to Epic Games. We wanted a quick way to view extra information on Fortnite while remaining in the Facebook Messenger app when we voice chat.
How I built it
We built the webhook server with Python and hosted it on Heroku. We used the
https://fortniteapi.io/
API to retrieve the Fortnite data. We also made the Facebook Messenger API Bot with the help from the documentation of Messenger API.
Challenges I ran into
There were a lot of timing issues on when we were sending back the OK request which made Facebook resend the same request infinitely. There was also the challenge of setting up the Facebook Messenger Bot and the Heroku server since both of us were new to it.
Accomplishments that I'm proud of
It works! We can provide this bot to our group of friends and will improve our experience with playing Fortnite.
What I learned
Webhooks, Facebook Messenger API, Quick Replies, Heroku Server Hosting
What's next for Fortnite Companion
Improvement to response time, cache results
Built With
api
fortnite
json
python
quick-replies
requests
Try it out
github.com
www.facebook.com | Fortnite Companion | A Facebook Messenger Bot that will provide Stats, Item Shop, and more information about Fortnite | ['Carter Tat'] | [] | ['api', 'fortnite', 'json', 'python', 'quick-replies', 'requests'] | 174 |
10,009 | https://devpost.com/software/butex-notebot-2-0 | NoteBOT logo
Inspiration
I'm a big fan of sleeping at inappropriate times, I was having issues with my classmates regrading not providing them hand notes at the time of their need , so this lazy guy ended up making a BOT to deliver hand notes
What it does
It Provides -
Study Materials(Hand Notes, Class Lectures,Slides)
Class Schedules
Exam Results
Notice Alerts
Textile Related keyword meaning
Casual conversational ability
How we built it
There was two part one technical part and one was collecting contents.
1. Technical Part:
This bot was built using "Manychat", a messenger chat bot building platform, we hosted the content links in various cloud providing hosts(google drive, dropbox)
2. Managing Part:
Content collection was done through google forms, students could volunteer to contribute contents, it's a platform for students by students
Challenges we ran into
Gathering all the study material was the main challenge
Making people familiar with chatbots
Accomplishments that we're proud of
We've served more than
5000
students through our BOT, it has a direct impact on my varsity's academic performance, students here loved and admire this BOT because it served as a friend who was there every time
What we learned
We've learned a lot, from technical knowledge to managerial work, we learned many things -
How people like to interact with a chatbot
How people expect a chatbot to response
Various UI/UX stuffs
What's next for BUTEX NoteBOT 2.0
We have miles to go, for near future -
We will try to make this service more automated , application of self hosted backend and frontend application of this BOT would be our goal now
Built With
drive
manychat
Try it out
m.me | BUTEX NoteBOT 2.0 | BUTEX NoteBOT believes in sharing and caring, and sharing knowledge is the best of all .A chatbot to deliver study materials for BUTEX students | ['Tripto Afsin', 'Abdullah Al Mamun'] | [] | ['drive', 'manychat'] | 175 |
10,009 | https://devpost.com/software/webhuk | Inspiration
There is a famous pizza shop here in my city and it has thousands of likes on its Facebook page, when they post something about new pizza or special event discount, users ask them countless questions on the Facebook page post e.g. what is the price, is it available for delivery, discount for new customers, can it order at 2am etc and you guessed it you can not reply every single comment because there are not just few comments but hundreds sometimes thousands.
And it's not just about one pizza shop there are tons of famous brands and they have hundreds of thousands of fans on Facebook pages ;)
So I had this idea to automate this, I knew Facebook API so started working on this and that idea is named as
Webhuk
.
What it does
It can help Facebook page owners to set some specific keywords for page posts individually and whenever new comment is posted on specified Facebook page post if the any of the user-defined keywords is present in the comment text then it triggers all or some actions, e.g. reply to comment on the behalf of the Facebook page,
private reply to the user who posted the comment
, send webhook or send email.
So it uses the
private reply
feature of Messenger API which is required to be eligible for this hackathon.
How I built it
I using Laravel as backend and Vuejs as frontend (I'm also learning Reactjs and loving it).
I have 4 different linodes on linode.com, app, database, cache, worker. All of these linodes are connected privately using linode private IPs.
App linode is built using LEMP stack.
Challenges I ran into
As I'm the only one working on this project so you can guess how many challenges I had to go through but in the end it worked. I had issues setting up the servers for this project because I'm not so good with linux server management but Google, YouTube helped me so I'm always thankful to these websites.
Oh yes I forgot I still lack web designing skills, as I already mentioned for now I'm the only one working on
Webhuk
would love a web designer team mate to push this idea to fully functional project to help businesses automate their social media presence :)
Accomplishments that I'm proud of
I'm proud to built this whole project all on my own.
It felt so good whenever I setup the servers and connected them privately for security reasons, that was so good feeling.
What I learned
First I used jQuery for most the ajax requests but I had a weird feeling to go for Vuejs and Reactjs. I had very basic understanding of Vuejs so I went with it and coded the frontend from scratch using Vuejs and learned so much about it.
I also bought a video course about Laravel performance and oh my, that was amazing which helped so much to make Laravel websites as fast as possible.
I also bought another video course about PHP package development which helped me to write my own packages.
I learned so much and excited to push this project.
What's next for Webhuk
For now it's just Facebook page comment automation but soon I'm adding Facebook Lead Ad automation so that whenever there's new lead and trigger actions e.g. email, webhook etc and much more is in my head for this project and yes later I'm also going after other social media websites e.g. Instagram, Twitter and LinkdIn.
Built With
facebook
laravel
linode
messenger-api
mysql
vue
Try it out
webhuk.com | Webhuk | Helping brands to automate their social media presence and help them to get maximum reach by reaching to every customer with absolutely zero manual interaction. | ['Sohaib Ilyas'] | [] | ['facebook', 'laravel', 'linode', 'messenger-api', 'mysql', 'vue'] | 176 |
10,009 | https://devpost.com/software/happy-bot-93c06f | Inspiration
The inspiration to make a fun little bot and combine it with my favorite hobby "cooking"! and the need to talk. Sometimes a lot is going on with some people and they don't have anyone to talk. I hope to make a small step towards that bigger goal by starting here.
What it does
A facebook messenger bot that uses quick reply to present user with a few cuisine options. When a user clicks on an option link to Yummly website is displayed in chat with a funny gif and the option appended as query string.
How I built it
I made it using javascript and bootbot javascript framework. I deployed it using ngrok.
Challenges I ran into
Once got into a error while fetching external API. Then i researched and found that I have to use fetch for that purpose and it solved the error.
Accomplishments that I'm proud of
Learning how to make bot, deploy on a facebook page.
What I learned
Working with javascript, heroku, mongo db, pyhton, rasa for AI
What's next for Happy Bot
Integrating AI and machine learning. Implementing handover protocol. As the inspiration behind this bot to make it a tool so that it can fight depression and help people who are suffering.
Built With
bootbot
heroku
javascript
ngrok
Try it out
github.com | Happy Bot | In these times sometimes as we are social distancing for the good of each other this is happy bot which provides a list of recipes you can make in the comfort of your homes and enjoy with loved ones. | ['Surabhi Govil'] | [] | ['bootbot', 'heroku', 'javascript', 'ngrok'] | 177 |
10,009 | https://devpost.com/software/bandhu | Inspiration
On 14th June 2020, a prominent Bollywood star Sushant Singh Rajput committed suicide. The incident was a shocker for millions and made mental health and its related prejudices part of the common conversation. The chaos brought forth by COVID-19 has also not been very favourable to people’s mental wellbeing.
Driven by these incidents and with a motive to contribute something for the benefit of people’s mental health, I quickly cooked up this chatbot
Bandhu
.
Bandhu
is a Sanskrit word which means "friend with a connection that links outer and inner world”. Bandhu is primarily based on the book by
Stepfan G. Bucher
titled
344 Questions
.
What it does
Bandhu can cater to a variety of issues like:
Happiness, Expectations, Guilt and shame, Procrastination, Decision making, Ambition, Plans, Work-life, Permission, Big steps, Freedom, Greed, Self-hatred, Critics, Purpose, Health, Being Grateful, Priorities, Love, Competition, Scared, Happy Ending, Ideas, Tough times, Suicidal thoughts, Seeking help, Helping someone, and LGBTQ+ mental health issues.
How I built it & Challenges I ran into
To comply with the requirements of the hackathon, Bandhu orchestrates most of the conversation using the
Quick Reply
feature. Bandhu is an intent-based model which orchestrates contextual conversation.
Two major challenges I faced while building Bandhu were:
Lack of domain knowledge, and
The Act of recreating empathy.
I couldn’t encounter any good resource that could help me curate all possible questions related to mental health. Bandhu’s very limited knowledge relies completely on the book
344 Questions
, the mental health website
Mind
and my personal touch of empathy. Also, a user can ask anything and everything to the bot and intent-based model won’t serve the purpose. But the lack of data and criticality of what the bot utters ensured that Intent-based model is the only feasible option.
What I learned
Creating Bandhu has been a really interesting and insightful journey and most importantly, it has made me more aware of my emotions and mental health needs.
What's next for Bandhu
Being just a week old with a lack of knowledge, Bandhu is not that smart yet. But I can envision endless possibilities by bringing on board some domain experts. Also, I intend to boost the personalization end.
Built With
google-cloud-services
python
Try it out
m.me | Bandhu | Meet Bandhu! Your assistant in your mental health journey which triggers a wave of positive retrospection inside you. | ['Mayur Saxena'] | [] | ['google-cloud-services', 'python'] | 178 |
10,009 | https://devpost.com/software/bdcaringfood | Inspiration :- Family
What it does : This is Home made Catering servic.
How I built it : 15 people
Challenges I ran into : Money... Need Found
Accomplishments that I'm proud of Yes
What I learned Business
What's next for BDcaringfood
Built With
bangla
english
Try it out
bdcaringfood.com | BDcaringfood | Eat health food . Home made food | ['BD Caringfood'] | [] | ['bangla', 'english'] | 179 |
10,009 | https://devpost.com/software/help-for-patient-70gxv4 | Inspiration
I want to help people. In this pandemic time doctors, nurse they work in the front line. They are my inspiration
What it does
There are many overpopulated countries in the world. There is very lack of hospitals, ambulance, blood banks in those countries. So in critical situations, people waste their time finding a seat in hospitals or search blood for their patients or search for an ambulance. This is very harmful to patients. They can quickly contact those services with the help of my chatbot. I'll add contact number of hospitals, ambulance, blood bank, pharmacy. If this service increase, If necessary, I'll make an excel file add contact base or make a website with those contacts and add the link in the message of bot .I'll ad location using json api. So that pepole can get their service in their location easily. In this way, people easily ensure their health care and owner of those services increase their business.
How I built it
Help of Chatfuel
Challenges I ran into
To find those contact numbers.
Accomplishments that I'm proud of
When I see this, It works successfully.
What I learned
How to make bot in chatfuel.
What's next for Help For Patient
I'll make a website with a lot of contact numbers in different areas and link them in the message.And I'll add location using json api.So that people can get their service quickly and get their service location basis.
Built With
chatfuel
Try it out
www.facebook.com | Help For Patient | This is a chatbot, which contains a lot of contact numbers of ambulance, hospital, blood bank, pharmacy. It helps the patient in critical times so that they can easily ensure their health. | ['Naimul Haque'] | [] | ['chatfuel'] | 180 |
10,009 | https://devpost.com/software/asha-vt6bf4 | Asha acts as a simple chatbot which tells jokes
The chatbot listens for safewords like "sos" or "mask 19". It asks whether to begin or continue a conversation.
It asks for country name to provide hotline number(placeholder for now) and asks to start a conversation with an NGO.
It asks for messages to send to a NGO and after sending it generates a password to continue the conversation later.
The user can see and respond to messages from NGO inside the messenger app.
Even if user deletes the conversation to hide it from their abuser they can continue it by giving the password that was generated for them.
Inspiration
Stay at home orders given in many countries because of COVID-19 has resulted
in an increase in domestic violence incidents.
It was already hard for domestic violence victims to seek help from police or a social worker, but
now when they are trapped at home with their abusers they don’t get a lot of opportunities to contact
someone for help.
As calling hotline numbers or police is not feasible when the abuser is near you, some NGOs have
started chat services to help people but unfortunately many smaller NGOs don’t have the resources
to do the same.
Some of these smaller NGOs may have an email address where people can ask them for help but the abuser usually has access to the phones or laptops of their victims and easily view their conversation which could lead to more physical abuse.
What it does
My chatbot attempts to solve this. For domestic violence victims, it helps them contact
NGOs from the messenger app and helps hide their conversations and for NGO, it enables them to
connect to more people through their email address.
On the surface, Asha looks like a simple chatbot that tells jokes. But its primary job is to listen for
safe words like “sos” and “mask 19” which tells it that the user is a victim of domestic violence.
These safe words can be publicised on websites of NGOs we partner with, posts boosted on
Facebook and many other ways. When this happens the control of the conversation is transferred to
another Facebook app that specialises in contacting NGO.
Because of handover protocol, this system can easily be added to various existing chatbots.
The Facebook app then asks for information the user wants to send and then sends an email on their behalf to an NGO depending on the country they are in. (As the app is in development right now, it asks the user for the email address to send the email to so that the person testing it can send the email to themself and can see how it looks.)
The app then allows the user to have a 2-way conversation with the NGO.
It also generates a password that the user can use to continue their conversation if for some reason they have to delete their chat. This is done to help domestic violence victims whose partners check their phone on a regular basis.
By communicating in this manner, domestic violence victims can seek help secretly without having to clear their browsing history or email inbox and constantly be in fear of being found out.
How I built it
I have made two Flask applications which are hosted on Heroku. One for telling jokes which acts as a front and other that contacts NGOs.
It uses Facebook Messenger Platform to talk to users.
I have used icanhazdadjoke API to get jokes.
I have used an opensource python library called"O365" which is a wrapper for Microsoft graph API to send emails
I also use SQLite to maintain context and gather information from the user.
Challenges I ran into
Maintaining context and gathering text to send were the primary challenges I faced on the messenger platform. I was able to solve them by maintaining various tables in an SQLite database.
Sending and reading email on a Flask app was a challenge too. I used Microsoft Graph API to solve this.
Accomplishments that I'm proud of
I am happy that the final version of the app was very close to the idea of it that I had in my mind.
It is also satisfying to know that I was able to learn new things and build products with it that could have a real impact on people's lives.
What I learned
I used to only make android apps before this project. As a result, I had to learn a lot about python and more importantly Flask.
I became aware of the capabilities and flexibility the Facebook messenger platform has.
I was able to discover and learn about various tools and technologies Facebook provides.
What's next for Asha
Gathering hotline numbers and email addresses of local NGOs is a monumental task. I plan to crowdsource it.
Adapting to more languages other than English is also one of the top priorities. The code was written in a way to make it easier but a lot of strings need to be translated.
As for how the message is transmitted is abstracted from the user, I would like to add the ability to send messages to NGOs via WhatsApp or SMS in case they don't have a working email address.
Contacting NGOs and adding more features from their feedback.
Built With
flask
graphmail
heroku
icanhazdadjoke
o365
python
Try it out
www.facebook.com
github.com
github.com | Asha | Chatbot to help connect domestic violence victims with local NGOs. | ['Yash Grover'] | [] | ['flask', 'graphmail', 'heroku', 'icanhazdadjoke', 'o365', 'python'] | 181 |
10,009 | https://devpost.com/software/bite-size-contents-for-messenger-and-whatsapp | Challenge definition, including gamification elements, as badges. Links and Qrcodes are automatically created.
Screen for interactive sections lead by presenters.
Content definition, which can have, besides text, images, videos, url or files.
Test definition, using quick replies for participant's responses.
A asmple report of responses from tests
Notifier definition, for scheduled sending of micro-learning topics. Uses the one-time notification for consentment
Example of an interactive session from messenger
Example of a scheduled challenge with one-time notification
Inspiration
I attended a specialization course in marketing at Ohio University when a professor held a Kahoot session with the class. I realized that the students were motivated by the challenge, and I thought it might be interesting to have a similar solution compatible with Messenger and Whatsapp.
Also, I realized that Micro-learning is an exciting trend, especially concerning the Millenials generation. Thus, the idea of joining both solutions and making them available in Messenger and Whatsapp was born. The challenge was to generate the BOTs without any programming or flow design, to make them accessible to all user profiles. We already have a platform to create chatbots without programming, only with flow design, but it showed confusing to non-technical users.
What it does
It sends Bite-size contents by Messenger and Whatsapp, for Micro-learning courses and engagement of participants of online events, like webinars and online presentations.
How I built it
Using Facebook Graph API in PHP, Mysql, MongoDB, and Node.JS
Challenges I ran into
To make a BOT available, ready to run, absolutely without programming or flow design.
Accomplishments that I'm proud of
I expect it to be a great tool to support learning support and engagement.
What I learned
It is extremely hard for non-technical users to configure BOTs, even with the flow drawing.
What's next for Bite-size contents for Messenger and Whatsapp
We expect to promote it and make it adopted worldwide. We also expect to be able to get access to the Whatsapp Business API, once we are using an official partner's gateway provider, with costs for session messages, making the adoption more difficult.
Built With
mongodb
mysql
node.js
php
Try it out
m.me | Bite-size contents for Messenger and Whatsapp | Bite-size content reinforces learning by engaging and motivating participants through short content and gamification, helping in training and engaging employees, business partners, or prospects. | ['J Stat'] | [] | ['mongodb', 'mysql', 'node.js', 'php'] | 182 |
10,009 | https://devpost.com/software/movies-and-series-review-helping-bot |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
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var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
Logo of my Facebook Page "Reviewaholic"
A screenshot of my Facebook Page
QR with the page link
Inspiration
I found my inspiration from a Faceook page named 'The Cinemates'. It actually a group where people watch different movies and series and give reviews from their personal view which sometimes help to know either what i'm going to watch will spoil my time or worth it. But most of the time for different peoples review I can't ensure what should I do. Some post good things and some wrong. So, I took a initiative to open a page with some movie and series lovers and critics that will help me to provide the perfect review. And after opening it I found that after some days people will face a huge problem to find the desire post. As a result to clear their sufferings I created this bot so they can just text the bot and need the link they actually want.
What it does
It actually provides the users with the movie review they desire. Anyone who needs to take some well reviews can text here. My bot will give them option to choose. The more they choose following their want the bot gives them the more accurate review for that type of movies or series.
How I built it
I built it using Chatfuel. As my first work it helped me a lot and I'm still trying to develop my bot the best way I can. But to be honest it took a good number of nights and snacks.
Challenges I ran into
The best challenge is not having a team. I have to do it all alone but i tried my best and from this loneliness i learned a lot. Moreover as a fresher it was very hard to use Chatfuel though i found it easy after some moments. All together whatever the pain was I enjoyed all the challenges to complete it and in this case Facebook, StartKoro and Youtube helped me a lot.
Accomplishments that I'm proud of
Firstly, I'm proud of doing it all alone and in only 03 days. Secondly, I have completed the way I want and is ready to use but some more link development and frouping is important.
What I learned
I learned a lot about messenger bot. Before knowing about this competition i was always curious bout how this bot replies from big and well known pages. Now my curiosity has a path which had no before. But after learning about messenger bot and creating my curiosity find a new way that is making me more curious about technology and Facebook.
What's next for Movies and Series review helping bot
The next step i've think for is to add the movie or series link direct and send it to the users through my bot which will be more fluent and easy to use next time.
Built With
chatfuel
chrome
coffee
facebook
internet
snacks
Try it out
m.me | Movies and Series review helping bot | My idea will help people know about the best movies and series. They will be provided with different options and link that they may choose according to their want and get the best review from critics. | ['Obaidul Hoque Shovon'] | [] | ['chatfuel', 'chrome', 'coffee', 'facebook', 'internet', 'snacks'] | 183 |
10,009 | https://devpost.com/software/covid-19-help-resource-center-lq7u1c | Cover Photo of COVID-19 Help Resource Center
COVID-19 Help Resource Center
This is a help resource page with an active messenger bot system which helps people understand the pandemic
COVID-19
and also provides the following information and services:
What is Coronavirus? 🦠
How to protect yourself 🛡
Symptoms of COVID-19 🤒
What to do if exposed to COVID-19 🆘
How to get tested ⚕️
Travel advice 🗺
Myth busters 🚫
FAQ on Coronavirus❔
Report a case ❗
How we built it
Tools we used in successfully setting up this service with their specific functions:
Facebook Messenger - Contact Center and Page
JavaScript - Chatbot
DialogFlow - Chatbot
Adobe Illustrator - icons, cover photo, service logo
Challenges we ran into:
Major Challenges we faced are
Designing the Conversation flow between the bot and a human.
Integrating the bot service to messenger as the developer policy and app requirements were changed.
Accomplishments that we're proud of:
We leveraged on Google's Machine learning model to make the bot smarter
What we learned
Learned how to integrate live bots to a facebook page through messenger
Implementing Machine Learning to a bot
Structuring a Conversation flow of a bot with a human
Making a Bot Intelligent.
Combining Quick replies with NLP based conversational flow.
What's next for COVID-19 Help Resource Center
Setting up Seminars, e-books, tutorials and flyers for proper guideline on how to tackle Coronavirus, harmful effects and how to avoid getting infected.
Built With
adobe-illustrator
dialogflow
facebook-messenger
javascript
Try it out
bot.dialogflow.com | COVID-19 Help Resource Center | A help resource page with an active messenger bot system which helps people understand the pandemic **COVID-19** and also provides guidelines and protection measures | ['Chihurumnanya Nwanevu', 'Trust. O'] | [] | ['adobe-illustrator', 'dialogflow', 'facebook-messenger', 'javascript'] | 184 |
10,009 | https://devpost.com/software/gem-ai | GEM AI
Inspiration
Chatbots are changing the face of retail. They are offering consumers better experiences when it comes to shopping, customer service, product selection and more. For brands, a shopping chatbot a great way to engage with customers and boost sales.
What it does
Gem AI can offer instant, real-time customer service across multiple channels (text, email, messaging app, website, and more). It allows simple, convenient purchases via message-based interactions. It can provide relevant, actionable offers in real-time, personalized to a customer's trends.
How I built it
We have built the whole thing keeping Messenger platform in mind. This is probably the world's first fully Messenger based Print On Demand system.
Challenges I ran into
The major technical challenge was the fact that how we build a better user interface? what will be the features that bring impact in our sales? So fortunately Chatfuel platform gives the best way to get the project done.
Accomplishments that I'm proud of
Creating a Print On Demand bot that would invite people to be more engaged with our Print On Demand business, while being recognized and rewarded for their meaningful contribution.
What I learned
People are motivated by incentives and rewards. By providing a platform through Facebook Messengers are encouraged to perform acts of kindness that will have a lasting impact on their communities.
What's next for Gem AI
Gem AI restore the meaningful value in our interactions. Encouraging POD community engagement.
Technological Goals: The long term goal will be to make it more effective .Accessible Anytime, Reduces Errors
Built With
chatfuel
Try it out
m.me | Gem AI | We are launching Gem AI -a revolutionary bot of e-commerce to sell our products online. Our bot will efficiently interact with our customers. | ['Md layek'] | [] | ['chatfuel'] | 185 |
10,009 | https://devpost.com/software/quick-health-8n6ybz | Inspiration
Living alone and having social anxiety in talking to new people I don't know any neighbours around me in my flat, this does worry me if I was to have a medical emergency. I know my local number for emergency services and theres apps but I was inspired to use Quick Replies to help people find and attempt to diagnose some of the common first aid problems.
What it does
Using resources from my first aid book and online, quick replies will send you down routes based on options clicked to attempt to diagnose the situation, administer the correct steps of first aid and provide emergency service numbers when needed.
How I built it
The application is written in Node, ran inside a docker container. It uses Koa as its framework. The payload of the quick replies buttons are used as a method of determining the next set of dialogue, I built it like this as I wanted something stateless and keeping the user down a specific path like a text adventure game.
On mobile there's a persistent menu that allows the user to change options and restart and using the payloads allow easy switching of context.
Challenges I ran into
The biggest challenges I ran into were:
Deving locally, I had to use tools to allow my https traffic out of the network to locally test
Coming up with a reusable dialog pattern, as a lot of the work was just outputting dialog to the customer to create a reusable pattern within the codebase that allowed expandability if this app was to ever more journeys.
Accomplishments that I'm proud of
I'm proud that I built this from scratch, I have used other bot frameworks like botkit in the pass but this application is written mostly by me other than using koa for the http server. I am also proud of the stateless system allowing people to easily switch journeys on mobile.
What I learned
I have learned to take a step back and not over complicate things for example I was going to build this application with a mongo database when it wasn't needed. Reusability is also key and having (despite it being javascript) strict object shapes to ensure you can pass objects into utility functions to allow for expandability.
What's next for Quick Health
Truth be told, nothing, the risk for Quick Health to be out on the web is too high due to the lack of vetting of medical information and there are other amazing applications out there for first aid. However I do plan to take the information I've learn around Facebooks apis and potentially build a different project in the future. This has also been my first hackathon project and does inspire me to get involved in more as it was fun to come up with an idea and build it.
Built With
drone
koa
node.js
Try it out
github.com
www.messenger.com | Quick Health | Using Messengers quick replies to administer first aid help | ['Jake King'] | [] | ['drone', 'koa', 'node.js'] | 186 |
10,009 | https://devpost.com/software/v-travel | Welcome to the chatbot (1)
The chat bot suggests random adventures or countries to explore (2)
More countries... (3)
Choosing country/city/landmark the chatbot will suggest virtual adventures and provide Google Earth, Youtube & AirPano Links (4)
Suggested virtual adventures for Jordan (5)
Example Airpano Virtual Tour (6)
This is a demo Google Trek for Petra, Jordan (7)
Interactive 360 view of Petra in Google Trek (8)
(9)
Interactive rich content virtual tour provided by Google Treks (10)
Interactive Virtual Tour for Rum Desert, Jordan provided by AirPano (11)
Example Google Earth result for Jordan (12)
Google Earth Jordan history content (13)
Google Earth Jordan points of Interest (14)
Google Earth Jordan, Petra point of interest location (15)
Google Earth Jordan, Petra point of interest history content (16)
Google Earth Jordan, Petra point of interest Exploration Options (Street View & 2D) (17)
Google Earth Jordan, Petra point of interest Street View Exploration (18)
Google Earth Jordan, Petra point of interest Street View Exploration (1) (19)
Google Earth Jordan, Petra point of interest Street View Exploration (2) (20)
Not sure what you want my chatbot can suggest random adventures for you (21)
Some Countries have more than 10 suggested virtual tours like USA (22)
You can check the 0-10 then 10-20 then 20-30 .... etc (23)
Checking 10-20 virtual adventures (24)
Another example of Google Trek Adventure (25)
Interactive Virtual Adventure (26)
Adventure Example Phase (27)
Example of 360 Photo in the adventure (28)
You can search by landmarks (Pyramids For Example) (29)
The pyramids of Maya Civilization (30)
Also, The pyramids of Egyptian Civilization (31)
You can search by the city (Moscow For Example) (32)
Example Virtual Tours in Moscow (33)
In case you there are no suggested virtual tours for you desired destination you can check Google Earth, AirPano & Youtube (34)
Youtube Results for Austin because we care about your satisfaction (35)
Chatbot is always happy to help you and bring you happiness (36)
Inspiration
In these conditions, it's become so hard and dangerous to travel.... also many people don't have the money nor the time to travel. so my basic idea is to create an interactive chatbot to help people go on virtual adventures from the comfort of their couches for FREE!!!.
What it does
My chatbot simply recommends countries with suggested Virtual Tours through Google Treks, AirPano.com. Also, It'll provide you Youtube & Google Earth direct links so you can explore more virtual tours. Of course, you can enjoy the virtual tours from your phone, Desktop, or VR headset.
Using The Chatbot
You can try the chatbot from
Here
. If there were any errors, please contact me at
[email protected]
or
my FB profile
.
How I built it
I built a web scraper to scrape the data from AirPano & Google Trek using Python 3 & BeautifulSoup4.
Then I used original-coast-clothing application as a framework to build my chatbot dialog flow.
I used Node.js for developing the chatbot.
Challenges I ran into
The biggest challenge was making the virtual tours available I tried at first to use Google street view but It was so hard & expensive If I'm going to depend on it in the Future.
Also, it was nearly impossible to work with every location/landmark, only if I had an army of people working for collecting landmarks & links for them.
So I had to search for other free Virtual Tours providers.
I had to dig deep in the great internet for good & free virtual tours providers.
I was lucky to find AirPano they are great people as they provide amazing virtual tours through interactive 360 photos & videos.
Also, Google treks are Very Amazing!! I wonder how I didn't know that these exist !!
Then It was very hard to collect the data, just imagine navigating through the website inspecting every item to get the title & the cover photo & description... etc
Luckily I knew little about web scraping then I start looking for example scripts & building my own.
Another big challenge was to develop a pagination mechanism for the available tours, as the carousel generic template only supports 10 items.
So if the USA had 31 suggested virtual tours I had to somehow find a way to view the first 10 then the second then the third... and so on.
Accomplishments that I'm proud of
I'm proud of making my first real-life chatbot and I'm sure with support It's going to be more than a chatbot.
What I learned
I learned developing messenger chatbots Also, Messenger [ Templates/QuickReplies/NLP ]
Also, I learned web scraping using python & BeautifulSoup4
What's next for V-Travel
With Support, I believe we can partner up with Google & other Virtual Tours providers and provide more great content & Help more people explore the world & explore more about other countries' cultures and history.
Built With
beautiful-soup
node.js
python
Try it out
m.me | V-Travel | Travel the world through Virtual Tours & Adventures through Google Treks, AirPano, Youtube and Google Earth. | ['Eslam El-Hakmey'] | [] | ['beautiful-soup', 'node.js', 'python'] | 187 |
10,009 | https://devpost.com/software/child-immunization-and-nutrition-awareness-bot | User is entering Hi word
Bot Starting Screen
Animal Bite chart, bot calculates vaccination chart based on animal and animal bite date
Bot displayed Welcome messages, user have to enter Child name
When user select Exit, Bot will terminate
Nutrition Chart, when user select Nutrition option,nutrition calculates based on child age and gender
Gender,Quick Reply, user have to select either male or female to calculate nutrition chart
Mobile,Quick Reply, user have to enter mobile, to receive alerts about immunization date
Email,Quick Reply, user have to enter email, to receive alerts about immunization date
DOB,user have to enter DOB, bot calculates Immunization Schedule based on DOB
Animal Bite, its will display when user select Animal Bite option,it will display list of animals
Health Centers, it will displays when user select Health centers
Bot displays four options,user can select any one of option
User have to enter Animal bite date
Immunization chart, it will displays when user select Immunization option
Add Remainder,User have to select mode of remainder to receive immunization date
Immunization charts, bot will calculate based on child DOB
Inspiration
Facebook is an Social Media Platform to connect with friends, family and other people in the world.I personally like using facebook because it is very easy to connect across the globe .Being a parent,I myself came to know about how important it is to provide the immunity in schedule to the children and I now know the importance of immunity in one's life and it is effective if given in time .On various occasions I came across the fact that children not having vaccine at time are facing problems if not now they may face in future because of weak immune system .
Maintaining immunity is very essential and mandatory .And it is very important that everyone should know about it so that they can follow in their life .And one such thing can be done easily using Facebook .
.I created a bot and it helps lot of parents.It is very important to provide immunity to each children and it is also our responsibility for our future generation.
What it does
Immunization is important to every child to increase immunity to prevent life threatening deceases.
Nutrition is also required for healthy body and growth.
Lot of parents are getting confusion about their child immunization chart and schedules dates. Some parents are forgetting immunization dose due to their busy life. Also parents have confusions about nutrition because it will change based on age and gender.
This bot gives the good solution to avoid parent’s confusions
Bot takes child information like name, gender, Date of birth, zip code
It gives Immunization schedule based on child date of birth
It gives nutrition chart ,various sources of nutrition based on child date of birth and gender
It gives weight and height chart
It gives nearest health centers where the immunization is available based on zip code
Users can register for remainders to receive before immunization date
## How I built it
Used the Facebook Messenger platform with bot Framework and C#
Used Sql server to store the child information,Immunization ,nutrition details
Challenges I ran into
I did not find direct C# Facebook messenger send API library. I created one own library for this.
Accomplishments that I'm proud of
I glad to say, with in short time I learned interactive Facebook messenger bot creation.
What I learned
Learned how to make an interactive messenger bot
Learned how to create library and make API calls in and around
What's next for Child immunization and nutrition awareness Bot
Extend the functionalities like polio, HIV, heart related treatment information, health centers and fund raising organizations for poor people.
Incorporate the local health centers application through Handover protocol
Provides the information in local languages
Built With
.net
c#
facebook-messenger
sendapi
sqlserver | Child immunization and nutrition awareness Bot | This Bot gives the child immunization schedules dates,nearest health centers,Nutrition chart,height and weight chart and sources of nutrition,alerts,animal bite medicine based on child information | ['Ravi kumar Ranga'] | [] | ['.net', 'c#', 'facebook-messenger', 'sendapi', 'sqlserver'] | 188 |
10,009 | https://devpost.com/software/com-ant-pronounce-as-comment-or-communication-ant | com-ant
Inspiration
The most important factor in the communication is "quick and opt response". Nowadays, people mostly trust a thing(Product, company or person) based the comments and responses on the social media. But think from owner of the page perspective, due to the volume of comments it is very tough for the owner of the page to analyse and response back for every comments in the page.
What it does
A small product demo -
https://youtu.be/hJdlDpT0zqc
com-ant (pronounced as comment) is a customizable bot ant. This can be included in any Facebook page to monitor the message/comment, analyse and response back based on the context. The highly negative comment will be notified to owner to take care immediately. As well it will give you the insight chart based on the categories of the comment. (Positive, Negative or Neutral).
How I built it
This bot built using;
messenger sdk - for communication
node js - middle layer
wit.ai - for sentiment analysis
Challenges I ran into
As this is first time working on messenger sdk, it was little difficult to understand about the overall design to incorporate the sdk and wit.ai into Node js. But the material available in Facebook for developers page lead the better way.
Accomplishments that I'm proud of
Bot development that make the communication in a better way.
Let owner of the page know which comment to be taken care first to stop impacting their reputation on public.
What I learned
The overall architecture built for between Facebook page and Messenger.
wit.ai a cool NLP partner.
What's next for com-ant (pronounce as comment or communication ant)
Make it customizable for every business page in Facebook.
Include analysed data into dashboard with better visual representation.
Improve the accuracy of the predictions of the bot.
Please note, as this bot still not yet deployed on any cloud host, tested through ngrok and working demo uploaded as video file. -
https://youtu.be/LdAVVpp2zb4
Built With
facebook-messenger
node.js
wit.ai | com-ant (pronounced as comment or communication ant) | Com-ant is a customizable bot that fulfills the most important communication success factor "quick and opt response" on your business or personal Facebook page. | ['Sugumar Panneerselvam'] | [] | ['facebook-messenger', 'node.js', 'wit.ai'] | 189 |
10,009 | https://devpost.com/software/messenger-commerce-bot | Free source code option, low cost and turnkey deployment option.
Inspiration
This project was made out of necessity after discovering the utility of dialog interfaces to communicate complex ideas: my business (Cologne.Dog, Inc.) required a conversational interface to express this need. Further, I have physician friends and others who can benefit from this AI powered interface that I wanted to help. This project is a convenience form for me to share conversational dialog technology, and make it easy to deploy, for those without the ability to write programs.
What it does
MessengerUp™ optimizes the creation process for generating conversational dialog applications. The copyrighted and patent-pending interface is designed specifically for building conversational, instructional, educational, scheduling, and e-commerce Messenger applications. Users build their entire applications and download it for free. The production version of MessengerUp™ offers turnkey deployment services at the lowest fees starting at $5 per month.
How I built it
This project contains four components:
(1) Facebook Messenger application template with custom delimiters for dynamic source code generation;
(2) client interface and application logic that receives user defined flow and views, and converts them to specifications;
(3) Build system that translates user defined inputs to a Node.js Facebook Messenger application, and;
(4) Production services including port discovery, certificate management, monitoring, and other services.
Components 1 - 3 are available at:
https://github.com/Cologne-Dog
Challenges I ran into
The build system would block the interface and cause timeouts when multiple requests were made at once. The solution required a serverless style operation where each build would run on its own process. A functional remedy was to store the builder service as an image, and create self removing containers that operated on a one to one basis for generating the source code. Furthermore, this style facilitates seamless transition to a queue or scheduler based system if scalability becomes an issue.
Accomplishments that I'm proud of
This project simplifies the non-trivial process of developing user flows for conversational dialog applications, and makes it trivial. This was a great accomplishment that required a deep understanding of the pains of the average user who would benefit from this service. I am also pleased this service touches on system, networking, security, and other highly technical aspects involved in the creation of enterprise applications.
What I learned
This was the first scalable multi-tenant operational system I have developed, and glad I was able to finish in time.
What's next for messenger-commerce-bot
Building some traction, and finding funding to grow MessengerUp™ to a business that serves and benefits businesses, influencers, healers, and educators who are facing challenges in today's environment.
Built With
docker
facebook-messenger
letsencrypt
mongodb
nginx
node.js
python
wit.ai
Try it out
messengerup.com | MessengerUp | Self-generating AI powered directed conversational dialog applications for educators, healers, professionals, influencers, and businesses. | ['Reza Fatahi'] | [] | ['docker', 'facebook-messenger', 'letsencrypt', 'mongodb', 'nginx', 'node.js', 'python', 'wit.ai'] | 190 |
10,009 | https://devpost.com/software/sunshine-5kfpem | Welcome menu
Pick up people: first option
Get Started Screen
HandOver protocol: Message can be handover to page inbox
Quick Menu used
Persistent menu and talk to a customer agent
messenger bot on lapot
Booking confirmed
booking rejected
quick menu
persistent main menu
Hand over protocol
Inspiration
This booking services provide cabs for interstate travel. Traveling interstate has been very easy pre Covid, we have buses, Uber etc but during this pandemic I got to realize that this simple task has gotten very complicated with uber drivers stopping their service , while various state needing permit to travel. In this kind of scenario local businesses has started thriving as they know the state policies for their local area and many local routes which are not known on google maps which generally big companies use. So my app took inspiration from this.This messenger app will be very useful for small businesses which can do effortless booking from messenger bot without creating expensive websites or apps.
What it does
This app does immediate booking for
a. people traveling interstate,
b. If people needs good to be transferred form 1 state to another
after the booking done which take approximate 5-10 min, a person from the company can later call or message
customer with other details
It also provide service to talk to a customer agent regarding any queries.
How I built it
I used glitch for server hosting and mongo DB for database.
Since its a basic version so for now I am taking only Indian state and Indian phone number as its use cases.
I used quick replies for all the small options
Handover protocol is used when customer use option "Talk to Us" In this the thread is passed from main app to page inbox, which can be returned back when agent click done on messenger
Challenges I ran into
Thinking of a use case to solve using messenger which could be later leveraged for business cases was hard part.
Connecting the system with Mongo DB was challenging because I have to make sure the data always remain in sync with the app
storing session variable for the app was challenging because messenger doesn't provide anything on its own.
Accomplishments that I'm proud of
This is the first time I was creating a messenger bot right from scratch and I am proud of how it all worked out
What I learned
The project was a huge learning curve for me.It gave me a lot of insights on how chat bots worked and how sessions are managed.Using messenger special feature Quick replies and handover protocol was also new to me. Overall I learned how to create a effortless communication between bot and user by handling all kind of scenarios/conversations that could occur .
What's next for Find A cab
I want it to be a template for messenger appointment bot. In later stages I could customize it to cater to different kind of industry like salon appointment etc.
Built With
javascript
messanger
mongodb
node.js
Try it out
m.me | Find a Cab | Effortless booking of cab for you | ['Kirti .'] | [] | ['javascript', 'messanger', 'mongodb', 'node.js'] | 191 |
10,009 | https://devpost.com/software/covid19-kit | dashboard
please check video for the features of the app
booking an appointment with the proctor/ faculty
project and document submission
creating channels for online teaching and mentorship
please check the mentioned github repo for the App. This app is for caretakers of patients with serebral pasly and people on wheelchais.
body temperature, heart rate, alarm functionality with data stored in the cloud database.
dues and assignments
messaging services
online proctored tests
Inspiration
During online classes, many students verbally harass the teachers and students of the class. This spoils the whole environment of the class, So we decided to block these students using speech recognition technology.
Then we all must have seen that delivering the things without contact has become a major problem, therefore we designed a hand gesture moving messenger who deliver things to Covid19 infected people in care centers.
What it does
The first part is a
remote education
android app which resolves all the problems stated above. It contains all the features a student will want in his/her app. We tried to involve every activity that we use to do in offline college times in this App. It consists of
Video call functionality
with a special feature of blocking students who are speaking abusive or bad words during a live session. The student will be reported to the admin of the app and all the records of the blocked student will be sent to the admin app. Admin can unblock the student again. Then our app contains a
chat room
for each classroom a student is enrolled in, it will allow the students and teachers to communicate as they use to do in Offline College. Then comes the appointment feature. Before contacting any teacher we have to make an appointment with him/her to ask for their time. So our App includes this cool feature of
appointment
for the students. This reduces the chaos and brings the working thing so that follows proper protocol. Teachers wanted an invigilation system to invigilate students during the test. In our App, we provided this feature by
camera proctored examination
feature. Under this a teacher can proctor all students through their webcams while the students are giving tests, also the teacher can pass their voice in the whole class to
convey messages
during tests. Also, our app has a feature of
assignment submission
. The teachers can upload the assignment questions along with the due date and students on the other hand can upload the solutions of these tests on the app itself.
How I built it
We used the android studio to build a remote education app. For backend, we used firebase realtime database. For identification of abusive words we used IBM speech to text services to convert the speech of the students in text and then we used this text in the loop to find whether he is abusing or not. We took the dataset of abusive words from Kaggle and gitHub.
For our IoT bot, we used the hand gesture sensor and on the basis of the gesture, the robocare bot will move and deliver thing to patients. It can also be used as a wheelchair.
Challenges I ran into
We faced many challenges like detecting and blocking students who speak the abusive language during the live class. We wanted to make something that everyone can relate with offline college activities. Therefore, we need proper planning and structure. The assignment section needed a proper structure to be executed.
Teachers all over the globe wanted a platform for cheat-proof examination. Our challenge was to make a cam proctored examination with cheat-proof features like on leaving the test you can not re-enter it.
Accomplishments that I'm proud of
We are proud of our abusive language detector system which blocks users when they speak bad words. Also, the structure we made is highly related to offline day to day activities. Our cam proctored test system is awesome, and it restricts the user from cheating and helps the invigilator to invigilate during a test.
What I learned
We learned, how to work with the realtime database, how to use IBM's speech to text services to detect abusive words. In this pandemic situation, we learned the complete use of GitHub and how to collaborate our work with teammates. Also, we learned some new IoT features which helped us to make the robocare bot.
What's next for Covid19 Kit
For future aspects we are planning to make a complete, general messenger system for private and government offices which they can use to share files, letters, assigning task and doing all other stuffs which people do in offline office hours.
Built With
android-studio
arduino
e-learning
education.com
firebase
ibm-watson
iot
Try it out
github.com
drive.google.com
drive.google.com | Covid19 Kit | An android app, an IoT device, and a Covid19 tracker, a complete kit for students, doctors, patients, and common people. An IoT bot to follow social distancing practices. | ['Ayush Sharma', 'Elio Jordan Lopes', 'Shaolin Kataria', 'Ritik Gupta', 'DEVANSH MEHTA'] | ['The Wolfram Award'] | ['android-studio', 'arduino', 'e-learning', 'education.com', 'firebase', 'ibm-watson', 'iot'] | 192 |
10,009 | https://devpost.com/software/goodwill | Bot getting started
Inspiration
Living in one of the nations with a high volume of people traveling to foreign countries illegally as refugees, It was hard to watch the way they were treated on arrival. We figured it would be better to provide a messenger bot for these people to provide some information about the nations they are traveling to as most of them are already using the Facebook platform in some way.
What it does
Connecting people who want to volunteer their homes or help them find affordable houses
Guiding how the health care system of that country works and help them find hospitals that focus on refugees
Explain the schooling system of the country and help connect refugees with nearby schools
Connect refugees with local employers
Easy to use language translator to learn the language
How I built it
The basic infrastructure was made with a simple tech stack like node.js and relational database. The data collection was done for entities around my neighborhood for testing.
Challenges I ran into
Data collection was the hardest task as we are in the lockdown due to the COVID-19 pandemic,
Accomplishments that I'm proud of
The completion of the first version of this bot is the proud moment for us. It can be used right now for some of the tasks we planed to help with.
What I learned
It doesn't require to have a sophisticated implemented solution in order to try to solve a problem.
What's next for Goodwill
We are planning to expand its reach by adding more languages.
Built With
express.js
google-translate
mysql
node.js
Try it out
www.facebook.com | Goodwill | Goodwill helps refugees understand the cultures of new locations so they can connect with locals and start becoming a part of the community in a better way. | ['Kaleab Shumet', 'Brook Mezgebu'] | [] | ['express.js', 'google-translate', 'mysql', 'node.js'] | 193 |
10,009 | https://devpost.com/software/group-smart-search-bot | Inspiration
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Group Smart Search Bot
will be added later...
Built With
amazon-web-services | Group Smart Search Bot | Use FB Messager to search within your group content, using a smart search engine (similar words and meaning, typos, etc) and natural langue searches | ['Ron Tamerin', 'Oscar Navarrete Estévez'] | [] | ['amazon-web-services'] | 194 |
10,009 | https://devpost.com/software/charlie-ecommerce-chatbot-platform | Inspiration
we wanted to help small and local businesses like restaurants during corona crises.
What it does
we have a website on which the owner of the business logs in via facebook login and can setup a messenger bot for his facebook page. To configure the bot the owner of the business just has to answer a set of questions, enter some texts, upload his offer as a spreadsheet and connect all data to the page.
The messenger bot uses the data entered in configuration to build a shop based in Facebook Messenger which shows the offer of the business, offers delivery or pickup options, a shopping cart and checkout.
How I built it
the entire system is built on java technologie, using mysql as data storage. It is using facebook login as well as page permissions in order to connect the bot service to the users facebook page
Challenges I ran into
we built this right in the switch to the new page permissions and had to wait a long time for review.
Accomplishments that I'm proud of
the platform is hopefully helping businesses in my region. The bot looks smart and has some nice features like "recent orders" which helps to quickly file a new order.
What I learned
I learned a lot about facebook permissions and conversational design for Facebook Messenger and how quick replies can help users navigating to a chat bot solution easily.
What's next for Charlie - eCommerce Chatbot Platform
Hopefully, we will be able to integrate payment into the checkout flow which is not enabled yet. Additionally, we plan to add the option to utilize handover protocol.
Please enable captions in the video to see some more infos about the demonstration.
Built With
java
mysql
Try it out
m.me | Charlie - eCommerce Chatbot Platform | In times of the Corona crises, especially smaller businesses and shops like restaurants, bakeries, etc are struggling. With Charlie those businesses can easily setup a shop in Facebook Messenger. | ['Thomas Scherschel'] | [] | ['java', 'mysql'] | 195 |
10,009 | https://devpost.com/software/mihe |
window.fbAsyncInit = function() {
FB.init({
appId : 115745995110194,
xfbml : true,
version : 'v3.3'
});
// Get Embedded Video Player API Instance
FB.Event.subscribe('xfbml.ready', function(msg) {
if (msg.type === 'video') {
// force a resize of the carousel
setTimeout(
function() {
$('[data-slick]').slick("setPosition")
}, 2500
)
}
});
};
(function (d, s, id) {
var js, fjs = d.getElementsByTagName(s)[0];
if (d.getElementById(id)) return;
js = d.createElement(s);
js.id = id;
js.src = "https://connect.facebook.net/en_US/sdk.js";
fjs.parentNode.insertBefore(js, fjs);
}(document, 'script', 'facebook-jssdk'));
ui mode
Inspiration
just wanted to play with the messenger templates and quick actions
What it does
lets you play a snake game, one move at a time
How I built it
with love
Challenges I ran into
using javascript
Accomplishments that I'm proud of
play snake on messenger
What I learned
there are endless ways to lose time
What's next for MiHe
nothing
Built With
javascript
Try it out
www.facebook.com | MiHe | A simple snake game you can play in messenger. | ['Elton Kola'] | [] | ['javascript'] | 196 |
10,009 | https://devpost.com/software/messageing-software | Email =
[email protected]
Password: opop
Built With
asp.net
Try it out
www.mysite007.somee.com | messageing software | send messages | ['Muhammad Basit'] | [] | ['asp.net'] | 197 |
10,009 | https://devpost.com/software/business-elp | BusinessElpLogo
Note: We create this new BusinessElp bot to meet with the Facebook July, 2020 hackathon.
Inspiration
Few years ago I helped a client out to build a Nodejs platform that creates custom bots for his clients Facebook pages. There are of course many online services that does that nicely, but Edwards wants to save money by not subscribing monthly for this services as none of them were free. So Edwards paid me one time to code this out, and then just gets the bots running for any new client in just some click and configuration.
Now to make things even more easier, We thought about creating something of such for all Facebook users inside Facebook. Here comes Business Elp, a messenger bot that helps create a messenger bot for your business and to generate leads!
What it does
Business Elp is a messenger bot that helps you build a fully working messenger bot which helps you engage customers about your service and generate leads.
How We built it
Business Elp is built with Nodejs platform, along with the Facebook Graph API that empowers the action.
Challenges We ran into
The toughest challenge is Facebook graph's permission, it wasn't actually easy to get permissions to some features, which we later come through.
Accomplishments that We're proud of
The accomplishment We are proud of is simply solving the problems of paying to get a simple bot working, with this solution, every Facebook user can create bots for their page for free and without leaving Facebook.
What We learned
This gives us chance to explore more about the Facebook Graph API. To know actually how the Facebook Graph API works and we also explored the Facebook Developers community to learn more about the behavior. We also learned about about graph nodes, page scoped IDs and how Graph could be used totally from Graph Explorer with call API requests manually.
What's next for Business Elp
For now, is just a simple chat flow that has an option to remove (SKIP), the next big thing on Business Elp is to allow users to customize chat flows by:
adding more blocks
customizing lead title messages
adding rooms for conditional chat flow.
Built With
facebook-graph
facebook-messenger
node.js
Try it out
m.me | Business Elp | Facebook Messenger Bot for creating bots for customer support and lead generation. | ['Hakeem Erisan', 'erisan akorede'] | [] | ['facebook-graph', 'facebook-messenger', 'node.js'] | 198 |
10,009 | https://devpost.com/software/hereyourdeals | Inspiration
In Indonesia (and most other countries), there are so many deals in the form of discount or cashback. Using those, we can save tons of money. It's really good for us.
But, there is a problem of discovery here. Since the number of deals are abundant, most of the time we're unable to access the best promotions at the right time. Especially, since those deals are only applicable for users that own specific payment cards.
Here, the bot can help you discover deals which are applicable only to the cards that you've registered.
What it does
Firstly, you should register all payment cards that you own
Then we inform you all the deals for you
How I built it
It's built using Nodejs, there's a specific library that can help me build chatbot quickly
Claudia Bot Builder
The cards and deals informations are stored in a Mongo Database
Deals are populated automatically by scraping contents on multiple websites. (This scraping project is still halfway, not yet finished. But I managed to populate sample data for demo)
Challenges I ran into
Initially, I found it's quite challenging to build a chat bot with intuitive UX.
Being a Product Manager, I found it's quite interesting to think and tackle this challenge.
Quickly I mocked the interaction using paper and pen, then asked few friends for inputs. First few inputs I got was all confusion, since I mixed the cards registration and deals on the first iteration.
Then, I managed to improve the flow by making the cards registration as a mandatory step before users can access the deals information
Accomplishments that I'm proud of
As a Product manager, I'm happy that I can learn new skills building chatbot interaction (mostly I stitched interaction on Android/iOS app).
I believe in the future, we're going to spend more times on chatbots.
What I learned
With this hackathon, I learned so many things, like:
How to build chatbot and host it on AWS lambda (so that I spend very little on the server)
Building chatbot interaction that make sense
Learn new things what chatbot can/can't do (as a Product Manager, this information is really helpful for my future projects)
What's next for hereyourdeals
Since user already registered their payment cards / accounts using the bot, I think next would be to manage the bills.
This simple chatbot can transform into a Fintech solution that can manage user's wealth (a PFM solution)
Built With
amazon-web-services
javascript
mongodb
node.js
Try it out
github.com
www.messenger.com | Here Your Deals | Chatbot that help you find the best deals for your payment cards | ['Anton Rifco'] | [] | ['amazon-web-services', 'javascript', 'mongodb', 'node.js'] | 199 |
10,009 | https://devpost.com/software/literacy-promotion-through-technology | Online Learning
Gender Equality Promotion 1
Gender Equality promotion2
Classroom cupboard donaion
Benches donation
Community service program
Online experience
Building capacity for community service learning
Computer science learning
Inspiration
I'm inspired by the social media, mainly the Facebook, which one the cheapest social media of the world.
What it does
After my University graduation, i spent time looking for job, but i didn't find nothing, so i set a nonprofit organization dealing with the promotion of the childhood education, gender equality and English language under the volunteering work. Thanks to the support of Facebook, my work became an International one, today.
How I built it
I set the official Facebook page of my organization, where i post at any time all my activities and even through messages to foster what i'm doing in terms of the social leader and make known my devotion. I shared the link of this through messenger to my friends to like and make comment to my posts. I also invite people to like my page that i manage, i mean, the one of my organization.
Challenges I ran into
I did have the financial means to promote this official by Facebook and get many likes. I have not been able to set a website of my organization due to the financial means.
Accomplishments that I'm proud of
Thanks to the support of donors, i rehabilitated the school latrines form 8000 students, provided classrooms' benches, cupboards, ceiling fans, school kits, clothes..
What I learned
I learnt the role of the community manager, how to post and comment my posts, how to recognize a scam, ..
What's next for Literacy Promotion through Technology
The Literacy Promotion through Technology is to support kids coming from poor families through the initiation of the computer science learning based on the way to use the social media, mainly Facebook, where they could learn how to read and write through the messages on Facebook. It is a project based on more practice than theory.
Built With
english
french
Try it out
www.givingway.com | Literacy Promotion through Technology | The project is about to make accessible the computer science learning from the vulnerable to improve the social education through the social network. | ['Toti Jean Marc Yale'] | [] | ['english', 'french'] | 200 |
10,009 | https://devpost.com/software/quick-products-choice | Quick replies provide a way to present a set of up to 13 buttons in-conversation that contain a title and optional image, and appear prominently above the composer. You can also use quick replies to request a person's location, email address, and phone number.
Built With
javascript | Quick products choice | Link Catalog products to Quick replies on Messenger | ['Tran Duc Hoang'] | [] | ['javascript'] | 201 |
10,009 | https://devpost.com/software/messenger-sinpgc | Inspiration - I have inspired a lot from Facebook the UI Build by Facebook which is React that is awesome and till now there is no competition of the Facebook UI. and this made me inspired and I want to work at Facebook and I want to be part of Facebook. As I am handicapped so my basic was not so clear because at the early stage I did not go big cities for study and I belong to a small town where there are no such facilities and I can not go anywhere I did self-studies and got admission in BIT Mesra and somehow I managed there I was having a big dream but as basic was not so strong so my whole focus and time went in managing the college grades but now I am learning and I am working in a startup and I am confident now in backend development using Spring and JAVA and now I want to become react developer too so that I can be a full-stack developer. I want to be part of the Facebook team whether it is at low level.
What it does
How I built it - I took some help from the internet
Challenges I ran into - I saw this on Facebook while I was browsing so I decided that this is the time to do and so something that Facebook can consider me.
Accomplishments that I'm proud of - Proud of my parents and my all friends who motivated me to be a software developer.
What I learned - I learned nothing is impossible if you have a target.
What's next for Messenger - I will try to make a beautiful UI Messanger
Built With
express.js
node.js
Try it out
github.com | Messenger | Handover Protocol | ['Md Mojahid Hussain'] | [] | ['express.js', 'node.js'] | 202 |
10,009 | https://devpost.com/software/chat | Home Page
conversation
connect with people
make a friend
Inspiration“Be the change that you wish to see in the world, and i wanna see people always connect with other people
What it does is Messaging, chat provides text messaging, hold-to-talk voice messaging, broadcast (one-to-many) messaging, video calls and conferencing, video games, photograph and video sharing, as well as location sharing.
How I built it Using a Xcode, Swift.
Challenges I ran into Rapid technology advancement,Increasing customer demands,Time limitations,Limited infrastructure/resources.
Don't get self-conscious. Don't get into the whole false-humility thing. Celebrate yourself when you've done something great. Because you should always be proud of your biggest and boldest accomplishments.
What's next for Chat is Chat has been redesigned to be lighter and brighter so you can concentrate on the messages and features that are important to you, we’ve redesigned the icons for all of Chat features, changed to a simpler and lighter colour palette.
Built With
swift
xcode | Chat | Share Happiness | ['Muhammad Zakwan Haiqal Bin Zulkipli'] | [] | ['swift', 'xcode'] | 203 |
10,009 | https://devpost.com/software/smart-home-message | Inspiration
Do you have a smart home, or an automatic watering device, or sensors?
If so, do you want it to send you notifications on FB Messenger?
Don't worry you don't need to be familiar with FB Messenger flatform to do it. I have simplified a lot so that anyone can do it. Messages can be sent from any device with an internet connection such as arduino, esp8266, ...
What it does
This picture is the simplest way to know how it works
How I built it
I have made a simple example for you to better understand my product.
That's when it rained from the rain sensor attached to the ESP8266 and it would text me on FB Messenger
https://github.com/kim7tin/rain_alert
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for Smart home message
Built With
fb-messenger
heroku
node.js | Smart home message | A simple way for anyone to automatically send a message to their own Facebook Messenger. The messages are possible from the sensors of the smart home | ['Duc Tin Nguyen'] | [] | ['fb-messenger', 'heroku', 'node.js'] | 204 |
10,009 | https://devpost.com/software/kuet-iem-florence-powerbot | KUET IEM'18
Inspiration
There was no chatbot for our department so I took initiative to design one for the convenience of all.
What it does
How I built it
I built it using IBM Watson Assistant.
Challenges I ran into
It was so challenging that what type of questions the students can ask, so it needed a lot of training data. I engaged a lot of people to ask that chatbot so that I come to know about the topics of chat I should include.
Accomplishments that I'm proud of
Yes, it's now successfully running on the departmental Facebook page and I received a lot of compliments for such initiative.
What I learned
I learned about AI machine learning, deployment of chatbots, design, and development, and so on.
What's next for KUET IEM Florence Powerbot
IBM continues improving NLP and Watson assistant features and they're also free to use. There're are lots of constraints as context recognition, multimodality, human behavior recognition, short-text pattern recognition, and so on. It can be updated every day by improving logic and workflow.
Built With
english
ibm-watson
java
Try it out
web-chat.global.assistant.watson.cloud.ibm.com | KUET IEM Florence Powerbot | I've made a chatbot to converse with the students of Industrial Engineering and Management emotionally, generic ways and academically. It has been deployed on Facebook already. | ['Md Abrar Jahin'] | [] | ['english', 'ibm-watson', 'java'] | 205 |
10,009 | https://devpost.com/software/tech-hype | Hello, I am Ananya from West bengal, India. I am 20 years old.
I recently completed my degree in computer science and secured 73.41%.
I always wanted to be a successful coder and developer, and my dream company Facebook,and microsoft
Today I have an opportunity to work with Facebook Hackaton, I wish I could be the best coder.
From: Ananya
Built With
android-studio
css
html
java
php | Tech Hype | Just Do it | ["Ananya's world"] | [] | ['android-studio', 'css', 'html', 'java', 'php'] | 206 |
10,009 | https://devpost.com/software/marketing-ecomic | Inspirationg
perfect way to earn
What it does
looks good
How I built it
with jason
Challenges I ran into
yes
Accomplishments that I'm proud of
looks good
What I learned
looks good
What's next for Marketing ecomic
looks good
Built With
appy-pie
c++
css3
java | Marketing ecomic | Targeted Audience | ['Asim Saeed'] | [] | ['appy-pie', 'c++', 'css3', 'java'] | 207 |
10,009 | https://devpost.com/software/spark-k6txdh | Inspiration
- Needed a place to track and plan our projects.
- Frustrated over apps that are specialized to do only one thing resulting in having to keep many tabs/apps open at the same time.
- Saw a need for an all-in-one productivity app.
- Believed it had the potential to increase the productivity of those affected by COVID-19.
What it does
- Features: Calendar, Tasks, Team Administration, Project Tracking, Messages, Meetings and Zoom Integration, Discussion Board
- A cumulative productivity app that puts all the apps you need into one
- Assists teams and organizations by improving productivity and tracking the progress of projects
- Highlights team collaboration with SparkRooms to coordinate team members
How we built it
- Written in HTML/CSS/JS, Python
- Written in Visual Studio Code
- Utilized Travis for continuous deployment and autonomous configuration
- Divide and Conquer - Frontend, Backend
- Git, VSCode Live Share, and Discord
Challenges we ran into
- Responsiveness & Mobile compatibility
- Rendering iframes on the dashboard
- Saving arbitrary user data within Firestore
- Git collisions: Committing changes to the same lines at the same time
Accomplishments that we're proud of
- Firebase for hosting, database, and authentication
- Fully functional login system with Google Oauth 2.0 Authentication
- Dashboard to render iframes to show lots of content in a single page
- Travis CI/CD
- Lots of backend and Javascript to process website
What's next for Spark
- Expand Spark for function enterprise and educational usage
- Increase responsiveness of site to enable mobile usage
- Create a way to send personal messages to team members
- Create more tools for users eg. a personal File Storage Method
Built With
bootstrap
css3
flask
fullcalendar
google-cloud
html5
javascript
jquery
node.js
python
travis-ci
Try it out
sparkapp.cf
github.com
docs.google.com | Spark | An intuitive and empowering all-in-one productivity application. | ['Raadwan Masum', 'Rohan Juneja', 'Safin Singh', 'Aadit Gupta'] | ['Wolfram Honorable Mention', 'Track Winner: Work & Economy'] | ['bootstrap', 'css3', 'flask', 'fullcalendar', 'google-cloud', 'html5', 'javascript', 'jquery', 'node.js', 'python', 'travis-ci'] | 208 |
10,014 | https://devpost.com/software/save-her | logo of application
Registration Form
login interface .
The type of social site where she have been harassed
choose Type of abuse
report about bullying
repot about harassment
Report about extortion if it's on the socia media
Report about extortion if it's in reality
It is an application that protects women from all inconveniences in social media
Inspiration
The reason that inspired us is that we, as women, are exposed to a lot of these situations. We also see many women being subjected to multiple harassment and lack of response by the competent authorities, so we built this application to reduce these harassments .
What it does
Achieve security for women.
How we built it
This application is built by ui and ux and this is for the designers. As for programming, we can use flutter also to become a more accurate application.
Challenges we ran into
The challenges and difficulties that will face us are in the programmatic side. The database is a little complicated, and from the theoretical side, great difficulties when entering into partnerships with various social media sites.The challenges and difficulties that will face us are in the programmatic side. The database is a little complicated, and from the theoretical side, great difficulties when entering into partnerships with various social media sites.
Accomplishments that we're proud of
Achievements proud of it We found an idea that enables us to solve problems facing women on all social media sites and achieve security for them.
What we learned
We learned how to work as a team and exchange ideas, find an idea in a short time, and think to achieve global partnerships with various institutions supporting women and how to achieve profit and marketing.
What's next for Save her
Next for our app is to be a global app that helps any woman in the world.
Built With
android-studio
flutter
ui
ux
Try it out
drive.google.com
drive.google.com | SaveHer | It is an application that protects women from all inconveniences in social media | ['Ahlem Youcefi', 'Achouak Bachiri', 'Nour ElHouda ADOUANE'] | ['First place'] | ['android-studio', 'flutter', 'ui', 'ux'] | 0 |
10,014 | https://devpost.com/software/you-re-not-alone-9i1w5j | Inspiration
women's self defense instruction online .com
What it does
website
How I built it
HTML5 css3 JavaScript laravrel mysql
Challenges I ran into
We ran into make this idea real and successful , to achieve our original goal which is protect woman and make it more strong
Accomplishments that I'm proud of
We're proud of our ideas and our work , and we'll proud more if our ideas be real because we want to provide support and all possible assistance to women
What I learned
We learn how to work in groups and thinking outside the box also how to translate our ideas to real ones
What's next for you're not alone
Built With
css3
html5
javascript
laravel
mysql
Try it out
docs.google.com
drive.google.com | you're not alone | website that help woman whose suffer from any unethical behaviors in the internet ,she set her problem and we try to solve it with deffent solutions also we make it talk to provisional psychologist | ['nour youcefi', 'Amina Korichi'] | ['Second Place'] | ['css3', 'html5', 'javascript', 'laravel', 'mysql'] | 1 |
10,014 | https://devpost.com/software/website-you-are-safe-jf5nk3 | you are safe
Inspiration :
Things we need as women to be safe online
What it does :
• A woman can ask her security questions (regarding protecting her accounts from piracy or something like that) on the app while leaving her e-mail and receiving the answer later as a message.
• Women can send a specific link to the app to test its security: An example is to send a specific link to the app and this link is tested by specialists after which you receive the answer (the link is safe to use it or not)
• When a woman is bullied on social media, it is sufficient to take a screenshot and send it to us . Legal measures will be taken against the bully, his account will be blocked, or the woman will be contacted to guide her to take the appropriate action.
• Women can request a direct call (voice call) with specialists to guide her .
How I built it :
Still an idea; However, we will use c# ;entity_framworke .
Challenges I ran into :
The first challenge was to find a team ; The second challenge is to find an unimplemented idea in the field of women's security online .
Accomplishments that I'm proud of :
Idea of the app "you are safe" I will get it done
What I learned :
We must constantly try to succeed
What's next for website: You are safe :
Make it real
Built With
c#
entity-framework
Try it out
drive.google.com | phone app : You are safe | A special app for women’s security online, you can send links and we will tell you that is safe or not . contact us for any inquiries or services you need to be safe on the Internet | ['imane chouder', 'Maroua Ben'] | ['Third Place'] | ['c#', 'entity-framework'] | 2 |
10,016 | https://devpost.com/software/hearthelp | Inspiration
Heart Disease
What it does
Diagnoses and predicts whether you have heart disease or not
How I built it
Machine learning decision tree
Challenges I ran into
n/a
Accomplishments that I'm proud of
n/a
What I learned
n/a
What's next for HeartHelp
n/a
Built With
python
Try it out
www.kaggle.com | HeartHelp | Diagnose heart disease from various features | ['Allen Ye', 'Richard Cao', 'Gavin Wong'] | ['First Place'] | ['python'] | 0 |
10,016 | 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'] | 1 |
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