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AI Hub — Comprehensive AI Intelligence Platform

A centralized command center for AI research, market insights, project management, and personalized newsletters.

🔗 Live Application


Project Overview

AI Hub aggregates AI news, research papers, hackathons, startup intelligence, stock trends, and job market data. It delivers automated daily and weekly newsletters with personalized insights.


Success Criteria & Features

  • Dashboard

    • Real-time AI news & research feeds with source attribution
    • Activity timeline tracking user engagement
    • Quick stats overview with live updates
  • Stock Tracking

    • Monitors 20 AI/tech companies (e.g., NVIDIA, Google, Microsoft)
    • Live price updates with visual trend indicators and sentiment analysis
  • Automated Newsletters

    • Daily: Personalized insights, curated content, stock summaries
    • Weekly: Startup funding, YC updates, job trends, chip industry news
    • Rich HTML email templates via scheduled edge functions
  • Project Management

    • GitHub integration with progress visualizations, metrics, tagging, and status control
  • Knowledge Base (RAG-ready)

    • Foundation using pgvector for vector search
    • Organized storage for papers, prompts, templates, notes
    • AI-powered tagging and semantic search infrastructure
  • Research Analysis Engine

    • Aggregates content from arXiv, Papers with Code, tech blogs
    • Summarization, analysis, author/publication tracking, suggestion framework
  • Analytics & Insights

    • User behavior tracking, usage trends, personalized recommendations, reporting
  • Favorites & Library

    • Star/save system for content
    • Organized personal library with advanced filtering and quick access
  • Responsive UI

    • Dark theme with mobile-first design, accessible per WCAG guidelines
    • Smooth animations, blob effects, and card-based layout

Technical Architecture

Backend

  • Database: Supabase PostgreSQL with core tables (users, projects, knowledge_items, stock_data, etc.)
  • Vector Search: pgvector for similarity queries
  • Security: RLS policies, AES-256 encryption, sanitized edge function APIs
  • Edge Functions: fetch-stock-data, aggregate-ai-content, fetch-hackathons, generate-daily-newsletter, generate-weekly-newsletter
  • Data Sources: Yahoo Finance, arXiv API, RSS feeds, DevPost, HackerEarth, MLH, job/funding market feeds

Frontend

  • Stack: React 18.3 + TypeScript, Vite 6.0
  • Styling: Tailwind CSS v3.4.16 (dark theme), Lucide icons, React Router v6, React Context API
  • Components: Dashboard, Research Hub, Newsletter preview, Project Tracker, Settings

UX & Performance

  • Sidebar & breadcrumb navigation
  • Global and semantic search
  • Loading states, error handling, notifications, keyboard accessibility
  • Optimizations: DB indexes, caching, responsive images, code splitting

Deployment & Monitoring

  • Hosting: Frontend on MiniMax; backend and edge functions on Supabase
  • Infrastructure: PostgreSQL with backups, CDN, global delivery
  • Monitoring: Analytics, performance metrics, error reporting, uptime (99.9%)

Future Enhancements

  • Full RAG implementation with vector search
  • GPT-4–powered AI chat assistant
  • Team collaboration & shared workspaces
  • Native mobile apps (iOS/Android)
  • API marketplace for third-party integrations
  • Scalability: microservices, Redis caching, ETL pipelines
  • ML-powered recommendation algorithms

Success Metrics

Category Metrics
Backend 5 edge functions deployed, 11 DB tables
Frontend 8 functional pages
Performance <3 s load time, WCAG 2.1 AA compliant
UX Full responsiveness, dark mode aesthetic

Value Proposition

For Researchers: Centralized discovery, organized knowledge, GitHub tracking, tailored newsletters.
For Entrepreneurs: Market intelligence, hackathon tracking, funding and salary insights.
For Organizations: Team knowledge-sharing, ROI tracking, automated insight reporting.


Conclusion

AI Hub is a production-ready, scalable, user-centric intelligence platform delivering real business value through robust architecture and intuitive design. It’s ready for immediate use and future growth.


License & Contributing

Include a LICENSE file (e.g., MIT) for open-source. Add CONTRIBUTING.md and optionally CHANGELOG.md for collaboration standards. :contentReference[oaicite:2]{index=2}


Last Updated

Last updated: 2025-08-26


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