MemoryVerse AI '26

### 🌌 MemoryVerse AI - Overview MemoryVerse is a personal digital identity companion that ingests scattered professional documents (PDFs, Word files, text, images, and web links) and converts them into a structured, searchable, and connected personal timeline and network graph. --- ### 🔑 Test Credentials (Pre-seeded Demo) To explore the application with complete pre-seeded timeline and relationship graph data immediately, log in with: * **Demo URL**: https://memoryverse-1-9zap.onrender.com/ * **Username**: `alex_chen` * **Password**: `password` *Note: You can also use the "Sign Up" option to register a fresh profile and upload your own certificates, resumes, or project links to test the real-time AI ingestion.* --- ### 🛠️ Core Features & Verification 1. **AI Data Ingestion (Module 1)**: Supports drag-and-drop file uploader (PDF, DOCX, TXT, and Images via Multimodal OCR) and online links (GitHub, portfolios). 2. **Intelligent Categorization (Module 2)**: Classifies documents into Projects, Skills, Certifications, Internships, Achievements, and Academics. 3. **Relationship Engine (Module 3)**: Identifies implicit skill matching and explicit AI-extracted career connections. Renders them in an interactive network graph built with custom HTML5 Canvas physics (drag, zoom, pan, inspect). 4. **Digital Journey Timeline (Module 4)**: Organizes and groups milestones chronologically by year with interactive filtering. 5. **Smart Retrieval System (Module 5)**: - Translates natural queries ("Show my Python projects") into database filters. - Grounded RAG Chatbot answers career questions with links back to original uploaded documents. --- ### ⚙️ How to Run Locally 1. Clone the repository and install dependencies: ```bash npm run setup ``` 2. Configure local environment (`server/.env`): ```env PORT=5000 MONGO_URI=mongodb://localhost:27017/memoryverse GEMINI_API_KEY=your_gemini_api_key ``` 3. Run the database seed script: ```bash node server/seed.js ``` 4. Start both the client and server concurrently: ```bash npm run dev ``` 5. Open your browser at `http://localhost:5173`.