Nandhitha Palanisamy

MemoryVerse AI '26

Thank you for reviewing MemoryVerse AI. This project is designed to transform student documents into an AI-powered digital identity by organizing, connecting, and presenting academic and professional achievements in a meaningful way. For a quick evaluation, simply create the PostgreSQL database, update the .env file, and run run_all.bat. This one-click script automatically starts both the FastAPI backend and the React frontend, making the setup process simple and efficient. Use the provided demo account to log in and upload a Resume, Certificate, and Project Report. These documents enable the AI to extract information, generate semantic document titles, build a knowledge graph, and create a career milestone timeline. The RAG-powered chatbot is designed to provide context-aware answers by searching only the relevant uploaded document instead of mixing information across multiple files. This ensures more accurate and meaningful responses during evaluation. To ensure a smooth demonstration, MemoryVerse AI includes offline fallback support. If PostgreSQL or vector database services are unavailable, the application automatically switches to SQLite and local TF-IDF search, allowing reviewers to continue exploring the core features without interruption.