Tech Bridge is an AI-powered, adaptive learning ecosystem specifically designed for India's startup workforce. It addresses critical skills gaps by providing personalized learning paths, real-time AI support, and gamified learning experiences that directly connect talent to career opportunities.
- Multi-Dimensional Quizzes: Industry-specific competency mapping to pinpoint individual employee skill gaps.
- Personalized Profiles: Identifies unique learning styles (visual, auditory, kinesthetic) and aligns them with individual career goals.
- Dynamic Curriculums: Generates a custom learning "playlist" adapted dynamically based on learner speed and performance[cite: 1].
- Multi-Modal Content: Sequences prerequisites fluidly using video, text, and interactive challenges[cite: 1].
- Engagement Engine: Features a Duolingo-style streak system, XP points, and milestone achievement badges[cite: 1].
- Collaborative Challenges: Includes team-based competitions and progressive unlocking of advanced tiers[cite: 1].
- Comprehensive Dashboard: Offers visual "Google Analytics" styled metrics for learning patterns[cite: 1].
- Predictive Insights: Uses skill development heatmaps and predictive modeling to project course completion timeframes[cite: 1].
- Context-Aware Chat: 24/7 instant doubt resolution sidebar that acts like a Copilot for your course content[cite: 1].
- Interactive Help: Provides instant code debugging assistance and contextual resource recommendations[cite: 1].
- Automated Aggregator: Scrapes and matches real-time job openings from top startup boards[cite: 1].
- Skill-Based Matching: Uses cosine similarity matching algorithms to align open opportunities with your completed skills[cite: 1].
- Core Framework: React 18 with TypeScript, compiled with Vite[cite: 1].
- UI & Experience: Tailwind CSS, Framer Motion (animations), Spline (3D interactive rewards), and Lenis (smooth scrolling)[cite: 1].
- State & Forms: Zustand (client state), React Query (server state), and React Hook Form[cite: 1].
- Data Visualization: Recharts and D3.js[cite: 1].
- Core Framework: Django 4.2 & Django REST Framework[cite: 1].
- Database & Caching: PostgreSQL (primary data) and Redis (caching, sessions, and live state)[cite: 1].
- AI/ML Components: TensorFlow/PyTorch (recommendation models), OpenAI API (chatbot processing), and Scikit-learn (predictive analytics)[cite: 1].
- Real-time & Background Tasks: Django Channels (WebSockets for live leaderboards) and Celery (background workers)[cite: 1].
- DevOps: Containerized using Docker[cite: 1].
Ensure you have the following installed on your local environment:
- Python 3.10+
- Node.js (v18+)
- PostgreSQL & Redis