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import streamlit as st
import os
def show():
st.markdown('<div class="main-header">ℹ️ About This Project</div>', unsafe_allow_html=True)
# ACVSS Hackathon Information
st.markdown("## ACVSS 2025 Summer School Hackathon Project")
st.info(
"This project was developed by **Team SATOR** as part of the **ACVSS 2025 - The 4th Summer School on Advanced Computer Vision** hackathon. "
"Our goal was to build a functional prototype for surgical scene understanding in a limited time frame."
)
# ACVSS Description
st.markdown("""
### About ACVSS
The **African Computer Vision Summer School (ACVSS)** is an intensive program designed to advance computer vision research and applications across Africa. The summer school brings together researchers, students, and industry professionals to explore cutting-edge technologies in computer vision, machine learning, and artificial intelligence.
**Learn more**: [acvss.ai](https://www.acvss.ai/) | **Year**: 2025 | **Edition**: 4th Summer School
""")
st.markdown("---")
# Team Section
st.markdown("## 👥 Meet Team SATOR")
# Add team description
st.markdown("""
**Team SATOR** is a diverse group of professionals brought together for the ACVSS 2025 hackathon.
Our team combines expertise in AI/ML, software engineering, data science, and quality assurance to deliver
innovative solutions in surgical scene understanding.
""")
st.markdown("### Team Members")
# Team Member Profiles
team_members = [
{
"name": "MEM1",
"role": "Team Lead & System Architect",
"desc": "Led the project, designed the overall system architecture, and ensured seamless integration of all components. Her vision guided the project's success.",
"email": "[email protected]",
"linkedin": "https://www.linkedin.com/in/evelyn-reed-acvss",
"github": "https://github.com/evelyn-reed",
"img": "https://i.pravatar.cc/150?img=1"
},
{
"name": "MEM2",
"role": "AI/ML Specialist",
"desc": "Focused on developing and training the core SwinUnet and scene understanding models. Responsible for the AI-powered analysis and insights.",
"email": "[email protected]",
"linkedin": "https://www.linkedin.com/in/kenji-tanaka-ml",
"github": "https://github.com/kenji-tanaka",
"img": "https://i.pravatar.cc/150?img=2"
},
{
"name": "MEM3",
"role": "UI/UX & Frontend Developer",
"desc": "Designed and built the Streamlit dashboard, focusing on creating an intuitive and informative user interface for surgeons and researchers.",
"email": "[email protected]",
"linkedin": "https://www.linkedin.com/in/sofia-rossi-ui",
"github": "https://github.com/sofia-rossi",
"img": "https://i.pravatar.cc/150?img=3"
},
{
"name": "MEM4",
"role": "Data Engineer",
"desc": "Managed the data pipeline, from processing the MM-OR dataset to ensuring the models received clean, well-structured data for training and testing.",
"email": "[email protected]",
"linkedin": "https://www.linkedin.com/in/david-chen-data",
"github": "https://github.com/david-chen",
"img": "https://i.pravatar.cc/150?img=4"
},
{
"name": "MEM5",
"role": "QA & Testing Lead",
"desc": "Oversaw the testing and validation of the entire pipeline, ensuring the system was robust, accurate, and met the project's objectives.",
"email": "[email protected]",
"linkedin": "https://www.linkedin.com/in/aisha-bello-qa",
"github": "https://github.com/aisha-bello",
"img": "https://i.pravatar.cc/150?img=5"
}
]
# Display team members in columns
# Display team members in a responsive grid
cols = st.columns(5)
for i, member in enumerate(team_members):
with cols[i]:
st.markdown(f"##### {member['name']}")
st.image(member['img'], width=120)
st.markdown(f"**{member['role']}**")
st.caption(member['desc'])
st.markdown(f"✉️ [{member['email']}](mailto:{member['email']})")
st.markdown(f"💼 [LinkedIn]({member['linkedin']})")
st.markdown(f"💻 [GitHub]({member['github']})")
st.markdown("---")
# Project Overview Section
st.markdown("## 🎯 Project Overview")
col1, col2 = st.columns(2)
with col1:
st.markdown("""
### 🏥 Video Surgical Scene Understanding
Our project focuses on developing an advanced computer vision system capable of:
- **Scene Analysis**: Understanding surgical environments
- **Tool Recognition**: Identifying medical instruments
- **Workflow Tracking**: Monitoring surgical procedures
- **Real-time Processing**: Immediate analysis and feedback
""")
with col2:
st.markdown("""
### 🛠️ Technical Stack
- **Frontend**: Streamlit Dashboard
- **Backend**: Python
- **ML Models**: SwinUnet, Scene Graphs
- **Dataset**: MM-OR (Multimodal Operating Room)
- **Version**: v1.0 (July 2025)
""")
st.markdown("---")
# Hackathon Achievement Section
st.markdown("## 🏆 Hackathon Achievement")
achievement_col1, achievement_col2, achievement_col3 = st.columns(3)
with achievement_col1:
st.metric("Pipeline Version", "v1.0", "Completed")
with achievement_col2:
st.metric("Models Integrated", "2/2", "✅ Working")
with achievement_col3:
st.metric("Development Time", "Hackathon", "July 2025")
st.markdown("---")
st.markdown("© 2025 Team SATOR - ACVSS Hackathon. All Rights Reserved.")
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