EduAI Assistant – AI-Powered Teaching Assistant for GDSC Hackathon 2025
EduAI Assistant is an AI-powered educational management platform designed to reduce teacher workload and personalize student feedback. Built using Google Gemini AI, Streamlit, Google Sheets & Calendar APIs.
github.com/priyanshuchawda/EduAI.git
🎓 EduAI Assistant - Project Overview
EduAI Assistant is a comprehensive educational management system with AI-powered features for teachers and educators. Here's a breakdown of each main component:
1. 📝 Grading Tab
AI-powered assignment grading from PDF uploads
Detailed feedback with strengths and weaknesses
Subject-specific evaluation criteria
Automatic score calculation and grade assignment
Question-by-question analysis
Results saved to Google Sheets for tracking
2. 📊 Analysis Tab
Student performance tracking across subjects
Visual performance trends and charts
Subject-wise detailed analysis
Assessment history with sorting options
Skills analysis with radar charts
Personalized improvement plans
Predicted scores and learning strategies
3. 📅 Calendar Tab
Interactive calendar interface
Event scheduling and management
Google Calendar integration
Upcoming events display
Color-coded events
Day/week/month views
Event reminders and tracking
4. 📚 Syllabus Tab
Syllabus management with topic tracking
AI-powered lesson scheduling
Topic distribution planning
Progress tracking for each subject
Recurring schedule setup
Integration with calendar for class scheduling
Duration and completion status tracking
5. 📖 PYQ Analysis Tab (Previous Year Questions)
Question pattern analysis
Topic distribution visualization
Practice question generation
Difficulty level analysis
Exam preparation guides
Time management suggestions
Topic-wise importance tracking
6. 👩🏫 Teacher Chat Tab
AI-powered teaching assistant
Context-aware responses
Teaching strategies suggestions
Resource recommendations
Lesson planning assistance
Classroom management tips
Educational best practices
Overall Project Features:
Seamless integration between all components
Google Services integration (Sheets, Calendar)
AI-powered analysis and suggestions
Data-driven insights
Visual analytics and reporting
User-friendly interface
Real-time updates and tracking
Multi-subject support
Comprehensive student progress monitoring
Automated workflow for teachers
Tech Stack Overview:
1. 📝 Grading Tab
Tech Stack:
Python/Streamlit for UI
Google Gemini AI for grading analysis
PyPDF2 for PDF processing
Pydantic for data validation
Google Sheets API for data storage
Plotly for visualization
2. 📊 Analysis Tab
Tech Stack:
Python/Streamlit for UI
Pandas for data analysis
Plotly for interactive charts
NumPy for numerical computations
Google Sheets API for data storage
Pydantic for data modeling
3. 📅 Calendar Tab
Tech Stack:
Python/Streamlit for UI
Google Calendar API for event management
Datetime module for date handling
JSON for data storage
Google OAuth2 for authentication
4. 📚 Syllabus Tab
Tech Stack:
Python/Streamlit for UI
Pandas for data management
Google Sheets API for syllabus storage
Google Gemini AI for lesson planning
Google Calendar API for scheduling
JSON for configuration
5. 📖 PYQ Analysis Tab
Tech Stack:
Python/Streamlit for UI
Google Gemini AI for question analysis
Matplotlib for visualizations
Pandas for data processing
PyPDF2 for PDF parsing
JSON for data storage
6. 👩🏫 Teacher Chat Tab
Tech Stack:
Python/Streamlit for UI
Google Gemini AI for chat responses
JSON for context storage
Google OAuth2 for authentication
Session state management
Core Technologies:
Backend: Python 3.11
Frontend Framework: Streamlit
AI/ML: Google Gemini AI
Database: Google Sheets (as database)
Authentication: Google OAuth2
Version Control: Git
APIs: Google Calendar, Google Sheets
Data Processing: Pandas, NumPy
Visualization: Plotly, Matplotlib
File Processing: PyPDF2
Data Validation: Pydantic
Environment: Python Virtual Environment
Dependencies: requirements.txt
Configuration: JSON, Environment Variables