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StudyGPT - AI-Powered Study Companion for KTU Students

🚀 Introduction

StudyGPT is an AI-powered study assistant designed to help KTU students efficiently prepare for exams. By leveraging cutting-edge AI technologies, it processes study materials like syllabus, previous year questions (PYQs), and notes to generate personalized study plans, flashcards, and topic-wise insights.

🛠️ Features

  • Personalized Study Plans – AI-generated schedules based on study materials and available time.
  • Interactive Flashcards – Memorization made easy with AI-curated key concepts.
  • Repeated PYQs Identification – Helps focus on frequently asked exam questions.
  • AI Chatbot for Study Assistance – Modify schedules, get topic explanations, and more.
  • Google Calendar Integration (Upcoming) – Sync study schedules for easy tracking.
  • Brain-Training Games – Engage with memory-enhancing activities during study breaks.

🏆 Use Cases

  1. Students with full study materials – Organize syllabus, notes, and PYQs for structured last-minute preparation.
  2. Students in emerging courses – Computer Science, Business Studies, and VLSI students get AI-generated study plans despite limited resources.
  3. Students under the KTU 2024 scheme – StudyGPT optimizes study schedules using model question papers and syllabus, even without previous exam resources.

⚙️ Tech Stack

  • Frontend – Next.js, TypeScript
  • Backend – FastAPI
  • AI & ML – OpenAI API, Retrieval Augmented Generation (RAG), Faiss, LangChain
  • Database – Supabase
  • File Processing – pdfminer
  • Deployment – Vercel (Frontend), Render (Backend)

📌 Future Enhancements

  • Google Calendar Integration for seamless study tracking.
  • Advanced AI Chatbot to personalize study schedules and assist with queries.
  • Improved Analytics to track progress and suggest better study strategies.
  • Collaborative Study Features for peer-to-peer learning and group study sessions.

🔧 Setup Instructions

  1. Clone the repository: 
    git clone https://github.com/your-repo/studygpt.git
  2. Install dependencies: 
    cd studygpt
npm install  # For frontend
pip install -r requirements.txt  # For backend
  3. Run the application: 
    npm run dev  # Start frontend
uvicorn app.main:app --reload  # Start backend

🤝 Contributing

We welcome contributions! Feel free to submit issues and pull requests to improve StudyGPT.

📜 License

MIT License © 2025 Team Bonito Flakes