DropSense AI

AI-Powered Student Dropout Risk Prediction System | ML + DL + NLP + LLM | Full Stack

Predicting Dropouts Before They Happen

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Overview

DropSense AI is a full-stack intelligent platform designed to predict and prevent student dropout using advanced Artificial Intelligence techniques.

It integrates Machine Learning, Deep Learning, Natural Language Processing, and Large Language Models to provide real-time risk prediction, behavioral analysis, and personalized recommendations through a modern web-based dashboard.

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Key Features

• 🔍 Multi-AI Integration — ML + DL + NLP + LLM in one system
• 📊 Dropout Risk Prediction — Identify at-risk students early
• 📈 Performance Forecasting — Analyze academic trends using DL
• 💬 Text Intelligence — Extract insights from feedback using NLP
• 🤖 AI Recommendations — Generate counselor reports using LLMs
• 💻 Full Stack System — Next.js frontend + FastAPI backend

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Tech Stack

• Frontend: Next.js, Tailwind CSS
• Backend: FastAPI (Python)
• Machine Learning: Scikit-learn, XGBoost
• Deep Learning: TensorFlow / PyTorch
• NLP: NLTK / SpaCy
• LLM Integration: OpenAI / Google Gemini

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Architecture

Frontend (Next.js Dashboard)
        ↓
Backend (FastAPI APIs)
        ↓
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|  ML Model  → Risk Prediction  |
|  DL Model  → Forecasting      |
|  NLP Module → Text Analysis   |
|  LLM Engine → Insights        |
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Getting Started

🔹 Backend

cd backend
python -m venv venv
pip install -r requirements.txt
uvicorn main:app --reload

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🔹 Frontend

cd frontend
npm install
npm run dev

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Use Cases

• 🎓 Colleges & Universities
• 📉 Dropout Prevention Systems
• 📊 Academic Analytics Platforms
• 🧠 AI-driven Education Systems

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Project Impact

✔ Real-world problem solving ✔ End-to-end AI + Full Stack integration ✔ Strong portfolio project for AI/ML roles

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Future Scope

• 📱 Mobile App Integration
• 🤖 AI Chatbot for Students
• 📡 Real-time Monitoring System
• 📊 Advanced Predictive Analytics

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