Build **RatePilot**—an AI-driven FD optimization and switching platform. The platform would: 1) **Crawl 50+ Banks’ Rates** daily using webhooks (e.g., 'Bandhan Bank: 7.95%'); 2) **Predict RBI Moves** using sentiment analysis of RBI speeches (e.g., 'Rate hike probability: 30%'); 3) **Auto-Switch FDs** via API integrations with banks (e.g., 'Move ₹50K from SBI to Bandhan—save ₹350/year'); 4) **Tax Optimizer** showing TDS implications (e.g., 'Your FD interest exceeds ₹40K—opt for Form 15G'). Offer 'RateLock'—a feature guaranteeing the best rate for 24h, even if banks change rates.

Market Catalyst & News Trigger

"Bandhan Bank revises FD rates, offering up to 7.95% for senior citizens, reflecting RBI’s rate hike uncertainty and liquidity tightening"

The Workflow Friction

Indian retail investors face paralysis in optimizing fixed deposits (FDs) due to fragmented bank rates, manual comparisons, and lack of tools to predict RBI rate hikes. Current aggregators (BankBazaar, PolicyBazaar) show static rates but fail to: 1) **Auto-Switch FDs** across banks; 2) **Predict RBI Moves** using sentiment analysis; 3) **Optimize Tax** (e.g., TDS implications); 4) **Dynamic Laddering** (e.g., 'Lock 30% in 3-year FDs for liquidity'). Senior citizens and HNIs lose ₹50K–₹2L/year in lost interest by sticking to a single bank.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

A dashboard showing: 1) **Live Rate Comparison** (e.g., 'Bandhan Bank: 7.95% vs. SBI: 6.5%'); 2) **RBI Rate Prediction** (e.g., 'Next policy meet: 60% chance of 25bps hike'); 3) **Auto-Switch Simulator** (e.g., 'Switch ₹1L from SBI to Bandhan—save ₹1,450/year'); 4) **Tax Savings Calculator** (e.g., 'Your TDS: ₹2,200—use Form 15G to save ₹2,200'). Integrate Bandhan Bank’s API to enable one-click FD switches.

Recommended Developer Tech Stack

• Next.js
• FastAPI
• PostgreSQL
• Gemini API
• Bank API Integrations (ICICI, HDFC, Bandhan)