AI-Powered Study App Project Report

AI-Powered Study App - Project Report ===================================== Project Name: To Be Decided --------------------------- Objective: ---------- This application is designed to help users create and refine their study materials by allowing them to take notes in different formats and gene...

AI-Powered Study App - Project Report ===================================== Project Name: To Be Decided --------------------------- Objective: ---------- This application is designed to help users create and refine their study materials by allowing them to take notes in different formats and generating AI-powered quizzes to test their knowledge. The app will provide both online and offline AI support to ensure smooth functionality in all conditions. 1. Core Features of the MVP =========================== 📝 Note-Taking System -------------------- Users can input notes via: ✅ Text-based Notes (Typed directly into the app) ✅ Image-based Notes (Upload images of notes) ✅ Handwritten Notes (Extract text from handwriting using OCR) 🤖 AI-Powered Quiz Generation ---------------------------- The app automatically generates quiz questions from user notes. AI ensures quiz accuracy by verifying with web sources where possible. Users can only take quizzes based on notes they input; they cannot modify shared notes. 📶 Offline & Online AI Models ---------------------------- Llama (Online Mode): Provides better, more accurate responses when a network connection is available. Mistral (Offline Mode): Ensures basic functionality even when offline. The app seamlessly switches between the two based on network speed and availability. 📌 Key Points Extraction ----------------------- AI can summarize notes into key points for quick revision. 🔗 Notebook Sharing (Limited Access) ----------------------------------- Users can share their notes with others, but: \- Recipients can only generate quizzes; they cannot edit or modify the notes. \- Notes can expire (optional feature for future versions). 2. Future Features (Post-MVP Considerations) ============================================ 🚀 Manual AI Mode Selection: Users can manually switch between online and offline AI. 🚀 Collaborative Notebooks: Multiple users can work on shared notes. 🚀 Smart Notifications: Study reminders based on quiz history. 🚀 Multilingual Support: Support for additional languages beyond English. 🚀 Monetization & Premium Features: \- Extended note storage. \- Advanced AI-generated explanations. \- Higher accuracy for OCR and quiz generation. 3. Tech Stack & Tools ===================== Frontend -------- React Native + Expo (For seamless cross-platform development) React Native Paper (Optional, for UI components) Backend & AI Processing ----------------------- Supabase (For database and authentication) Llama & Mistral (For AI quiz generation) OCR Technology (For extracting text from handwritten notes/images) Storage & Offline Mode ---------------------- SecureStore or SQLite (For offline note storage) 4. Development Plan =================== 🛠️ MVP Development Timeline (Estimated: 6-8 Weeks) Week Task ------ ------------------------------------------------------ 1-2 Design UI and build frontend with Expo 2-3 Implement text-based note-taking and image-based OCR 3-4 Integrate AI quiz generation (Llama & Mistral) 4-5 Develop offline mode and key points extraction 5-6 Implement note sharing and limited access 6-7 Optimize performance and run user testing 5. Next Steps ============= ✅ Start UI Development (React Native + Expo) ✅ Set Up AI Models (Llama & Mistral) ✅ Develop Note Input & Storage Features ✅ Begin AI Quiz Generation Integration Conclusion ========== This AI-powered study app has strong potential for both personal and academic use. It provides a unique learning experience by transforming user notes into interactive quizzes while ensuring offline functionality. With potential premium features, this app also has a monetization pathway. 💡 Next Move: Start building the MVP! 🚀