MemoryVerse AI '26

About the Challenge Every student builds a digital footprint throughout their academic and professional journey. Certificates, resumes, project reports, internship letters, portfolios, GitHub repositories, achievements, and learning records accumulate over time. Yet most of this information remains scattered across folders, emails, cloud drives, and devices. As years pass, valuable experiences become difficult to locate, connect, and showcase. Traditional storage platforms can save files, but they cannot understand a person's journey. Your challenge is to build an AI-powered Digital Identity System that transforms fragmented data into a structured, searchable, and intelligent knowledge repository. The system should automatically understand, organize, categorize, and connect information while preserving original files and formats. This is not another cloud storage platform. This is a system that understands a person's growth, achievements, skills, and experiences—and makes them instantly accessible. Key Questions to Solve 1. Intelligent Organization Can the system automatically organize uploaded content without requiring manual sorting? 2. Knowledge Connections Can the system identify and connect related information such as skills, projects, certifications, internships, and achievements? 3. Instant Retrieval Can users retrieve any document or information instantly without searching through multiple folders? What to Build Module 1: AI Data Ingestion Allow users to upload: Certificates. Resumes. Project Reports. Internship Letters. Portfolio Links. Other Academic or Professional Documents. Module 2: Intelligent Categorization The system should automatically classify uploaded information into meaningful categories such as: Projects. Skills. Certifications. Internships. Achievements. Academics. Module 3: Relationship Engine Build an AI layer that identifies and connects relationships across user data. Examples: Certification → Skill. Skill → Project. Project → Internship. Internship → Career Path. Module 4: Digital Journey Timeline Generate a visual timeline representing the user's growth and achievements. Example: 2023 → Python Certification. 2024 → Data Science Club Lead. 2025 → Internship at XYZ. 2026 → AI/ML Project Portfolio. Module 5: Smart Retrieval System Enable users to instantly access their original data through natural search. Examples: Show all my certificates. Show my AI projects. Show internship documents. Show my latest resume. All files should remain accessible in their original format. Success Metric The defining moment of your demo should make a student say: "I never have to search through folders again." The strongest solutions will not simply store information. They will create an intelligent digital identity that understands and represents a person's journey. Deliverables Upload your working prototype or demo video. GitHub repository with README. AI workflow or architecture diagram. Thought process sheet. Submit all four deliverables to your Wooble portfolio for evaluation. Accepted Formats File Upload. URL / Live Link. Written Response. Code Repository. What Reviewers Might Look For NLP. RAG. Embeddings. Vector Databases. Semantic Search. Evaluation Criteria Quality of AI organization, categorization, and information retrieval (40%). Use of AI/ML techniques such as embeddings, NLP, semantic search, or knowledge mapping (25%). Innovation, usefulness, and user experience (20%). Clarity of explanation, architecture, and thought process (15%).