🎓 AI-Powered Student Database Management & Performance Prediction

An intelligent, full-stack web application designed to manage student academic records and predict student performance using machine learning. This system features a user-friendly admin and student portal, automated predictions for pass/fail status and final scores, and seamless backend integration with ML models.

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🚀 Features

• 🔐 Secure student & admin login
• 🧠 AI-powered prediction of:
  • Pass/Fail status
  • Final score
• 📊 Dashboard to manage student records
• 📁 Upload and analyze new student data
• 🧪 Model trained using LightGBM on a large synthetic dataset (5M+ rows)
• ⚙️ RESTful API powered by FastAPI and integrated with ML model

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📁 Project Structure

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🧠 Model Details

• Algorithm: LightGBM (Gradient Boosting)
• Target Variables: pass_fail, final_score
• Features Used: Age, Attendance, Exam Scores, Project Completion, etc.
• Training Data: Synthetic dataset of 5 million rows generated using Faker and pandas

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⚙️ Setup Instructions

1. Clone the Repository and Run

git clone https://github.com/muhammadtihame/AI_POWERED_STUDENT_DATABASE_MANAGEMENT_AND_PERFORMANCE_PREDICTION.git
cd AI_POWERED_STUDENT_DATABASE_MANAGEMENT_AND_PERFORMANCE_PREDICTION
streamlit run app.py