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Closed · Closed 30 Jul 2026

MemoryVerse AI '26

Build an AI that remembers, organizes, and connects a person's entire digital journey.

Challenge closed

Evaluation only · Closed

What comes with each prize

On top of the cash, each place carries its own package.

  1. 1.1st place

    • Wooble Productivity Kit
    • Branded Borosil Glass Bottle
    • Branded Diary
    • Premium Pen
    • Notepad

  2. 2.2nd place

    • Wooble Productivity Kit
    • Branded Borosil Glass Bottle
    • Branded Diary
    • Premium Pen
    • Notepad

  3. 3.3rd place

    • Wooble Productivity Kit
    • Branded Borosil Glass Bottle
    • Branded Diary
    • Premium Pen
    • Notepad

Included for everyone who submits

You keep these whether or not you place.

  • Participation certificate

    Get a verifiable certificate the moment you submit your work.

The brief

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.

01Key Questions to Solve

021. Intelligent Organization

Can the system automatically organize uploaded content without requiring manual sorting?

032. Knowledge Connections

Can the system identify and connect related information such as skills, projects, certifications, internships, and achievements?

043. Instant Retrieval

Can users retrieve any document or information instantly without searching through multiple folders?

What to Build

06Module 1: AI Data Ingestion

Allow users to upload:

  • Certificates
  • Resumes
  • Project Reports
  • Internship Letters
  • Portfolio Links
  • Other Academic or Professional Documents

07Module 2: Intelligent Categorization

The system should automatically classify uploaded information into meaningful categories such as:

  • Projects
  • Skills
  • Certifications
  • Internships
  • Achievements
  • Academics

08Module 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

09Module 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

10Module 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, and thought process sheet to your Wooble portfolio. All 4 must be submitted 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%)

Results

Declared on 6 Aug 2026.

View full results

Winners & standout work

See what strong submissions look like — then build yours on the next challenge.

Full results
1st place
Bhanu SanikommuBhanu Sanikommu@sanikommubhanucecb9

MemoryVerse AI '26

PDF link -https://drive.google.com/file/d/1ifU0GKLQjhwCGXM8IEjbjkuSfUevVFrE/view?usp=drivesdk The pdf consists of all the details about project including architecture diagram and Everything in the application is fully functional and properly integrated, except for the LinkedIn integration, which will be implemented in a future update. The other required documents -architecture and though_process are available in my GitHub inside docs folder MemoryVerse AI is an AI-powered Digital Identity platform designed to intelligently organize, understand, and retrieve professional documents such as resumes, certificates, project reports, and internship records. The system leverages Cohere Command-R-08-2024 for document analysis, Embed-English-v3.0 for semantic vector generation, Retrieval-Augmented Generation (RAG) for grounded AI responses, and Semantic Search using the Cosine Similarity algorithm. Built with Next.js 14, React, Firebase Authentication, Cloud Firestore, and Firebase Storage, the platform provides secure, scalable, and intelligent document management. Its key features include AI-powered document categorization, knowledge graph visualization, professional journey timeline, AI chat assistant, resume builder, and portfolio generator, offering an innovative solution that transforms static portfolios into dynamic, searchable digital identities.

159
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3rd place
Madhav zanwarMadhav zanwar@madhav-zanwar

MemoryVerse AI '26

1. Live app: upload a PDF → auto-classified (category, skills, summary) via one Gemini call. 2. Search tab: natural-language queries ("show my AI projects") ranked by semantic similarity, not keywords. 3. Browse tab: all docs auto-sorted by category. Timeline tab: chronological view from extracted dates. 4. Relationships: `/api/relationships/build` — one batched Gemini call finds cross-document connections (not per-pair, avoids O(n²) calls). 5. **Cold start note**: backend is on Render free tier — first request after inactivity can take 30–60s. Not a bug. 6. **Design choice**: single Gemini call per doc (classify + extract + tag skills together) — keeps latency low, stays in free-tier limits. 7. **Design choice**: pure-Python cosine-similarity vector search instead of ChromaDB — its compiled dependency broke on Windows mid-build; swapped deliberately for reliability under deadline. Fine at student-scale (tens of docs), documented as a tradeoff. 8. Originally Railway-hosted; migrated to Render + Vercel after Railway's trial expired mid-build. 9. Local setup, full API docs, and architecture diagram are in the repo README. 10. Limitations stated upfront: no auth (single-user demo scope), relationship engine is one LLM pass not a formal knowledge graph, dates depend on being present in source text. 11. Solo build, ~48 hours: backend, AI integration, frontend, deployment all done end-to-end.

26
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Vijay VarmaVijay Varma@vijay-varma

MemoryVerse AI '26

ProfileMind is an AI-powered digital identity platform that converts resumes, certificates, achievements, and academic records into an intelligent knowledge graph. Demo Instructions: 1. Click "Sign in with Google". 2. Sign in using any Google account. 3. The application automatically creates or synchronizes the user profile. 4. After login, users can explore the dashboard, upload documents, build their digital profile, and interact with the AI assistant. Tech Stack: - React + TypeScript + Vite - Node.js + Express - Prisma ORM - PostgreSQL (Supabase) - Supabase Authentication (Google OAuth) - Google Gemini AI - Render (Backend) - Vercel (Frontend) Note: The backend is hosted on the Render free tier. The first request after inactivity may take a few seconds because the service wakes from sleep (cold start). Subsequent requests are significantly faster.

9
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Meghashri ChandrasekaranMeghashri Chandrasekaran@meghashri-chandrasekaran

MemoryVerse AI '26

MemoryVerse AI is an AI-powered digital identity platform that helps users organize, understand, and retrieve their academic and professional digital records in one intelligent space. The prototype demonstrates document/record management, AI-assisted processing, search, insights, and digital journey visualization. Live Demo: https://ai-journey-52.preview.emergentagent.com/⁠ The submission includes the prototype, GitHub repository, architecture diagram, and thought-process documentation for evaluation.

9
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