📈 TrackBets: AI-Driven Financial Intelligence TrackBets is a full-stack financial analysis prototype designed to bridge the gap between complex market data and retail investor decision-making. By synthesizing simulated market feeds with AI-driven sentiment analysis, TrackBets provides a clear, actionable "Buy/Sell/Hold" roadmap.
🚀 [Live Demo Link] | 📊 [Presentation / Pitch Deck Link]
🛠️ The Tech Stack Frontend: React.js + Vite, featuring a high-fidelity "Neon-Dark" UI for a premium trading desk experience.
Backend: FastAPI (Python) hosted on Render, architected for high-performance asynchronous processing.
AI Engine: OpenAI GPT-4 Integration, optimized for financial reasoning and sentiment synthesis (Pivoted from initial Gemini architecture for enhanced demo stability).
Data Strategy: A hybrid approach using simulated real-time data feeds and mock datasets to demonstrate full-cycle analysis without API latency during the pitch.
✨ Key Features Dynamic Analysis: Processes tickers (e.g., ZOMATO.NS, TSLA) through a multi-step financial brain.
Strategy Wizard: User-centric workflow to define entry targets and investment timeframes (Quick Scalp vs. Long-Term).
Sentiment Synthesis: Mimics the aggregation of news and social media trends to provide a "Market Pulse" percentage.
Actionable Verdicts: Delivers a final Buy/Sell recommendation backed by an AI-generated explanation of the logic.
🗺️ Future Roadmap Live API Integration: Transition from mock data to production-grade market feeds (Polygon.io / Zerodha Kite).
Portfolio Tracking: Real-time P&L tracking via brokerage API connections.
Advanced ML Models: Implementing custom-trained models for technical indicator prediction.
👥 The Team
Arindam Nath – Backend Architect & AI Integration: Engineered the FastAPI infrastructure and migrated the LLM logic from Gemini to OpenAI.
Debanga Shivam – Lead Frontend Engineer & UI/UX: Designed and developed the high-fidelity React interface and "Strategy Wizard" workflow.
Meghank Sanjib Dutta – Data Scientist & Financial Analyst: Specialized in sentiment analysis parameters and validating the financial logic of the verdict engine.