AI-powered web application that analyzes student study patterns, predicts performance, and provides personalized insights using Machine Learning and Flask.
- 📊 Study pattern analysis
- 🤖 ML-based predictions
- 📈 Performance insights
- 🎯 Smart recommendations
- 🌐 Interactive web interface
- Frontend: HTML, CSS, JavaScript
- Backend: Flask (Python)
- Machine Learning: Scikit-learn
- Data Processing: Pandas, NumPy
- User inputs study-related data
- Data is processed using Pandas
- Pre-trained ML model analyzes patterns
- Predictions are generated
- Results displayed via Flask web app
- End-to-end ML project
- Integrated ML model with Flask
- Real-world use case
- Clean UI design
git clone https://github.com/Nairayadav/AI-Study-Pattern-Analyzer.git
cd AI-Study-Pattern-Analyzer
pip install -r requirements.txt
python app.py
[def]: image.png


