feat(ai): AI Weather Anomaly & Crop Yield Loss Prediction Pipeline

[hrshjswniii]

📌 Overview

This PR implements [feature] : AI Weather Anomaly & Crop Yield Loss Prediction Pipeline bringing predictive microclimate anomaly detection (Extreme Drought, Unseasonal Monsoons, Heatwave) and harvest yield loss percentage calculations to farmers and Mandi inventory operators.

Key Changes Introduced:

1. ML Microservice Weather Pipeline Engine:
   • Created [ml-service/weather_pipeline.py]calculating yield loss risk percentage (0-100%), classifying climate anomalies, estimating harvest reduction (kg/acre), and generating crop protection tips.
2. Flask ML Endpoint:
   • Updated [ml-service/app.py] adding POST /predict-yield-loss with rate limiting and API key verification.
3. Backend Express Proxy Route:
   • Updated [backend/routes/aiRoutes.js]adding proxy route /api/ai/predict-yield-loss with automatic fallback calculation if ML service is offline.
4. Automated Verification Script:
   • Created [ml-service/test_weather_pipeline.py] verifying microclimate anomaly classification and risk calculation bounds.

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🛠️ Type of Change

• ⛓️ Smart Contract (Solidity changes, Gas optimization)
• 💻 Frontend (UI/UX, React components, Tailwind)
• 🐍 AI ML Microservice & Backend (Python, Flask, Express, Scikit-Learn)
• 📄 Documentation (README, Roadmap updates)
• 🧪 Testing (Python unit tests)

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🔗 Related Issue

Closes #1307

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🧪 Testing & Verification

• Smart Contracts: npx hardhat test passed? (N/A)
• ML Microservice: python test_weather_pipeline.py passed? (Yes) — Passed cleanly.
• Backend: Proxy route /api/ai/predict-yield-loss verified? (Yes).

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✅ PR Checklist

• My code follows the project's style guidelines.
• I have commented my code, particularly in complex areas (e.g., rainfall deficit ratios & growth stage multipliers).
• I have updated the documentation accordingly.
• My changes generate no new warnings.

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💬 Additional Notes

• Created [ml-service/weather_pipeline.py]
• Updated [ml-service/app.py]
• Created [ml-service/test_weather_pipeline.py]
• Updated [backend/routes/aiRoutes.js]

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