Proud to share our work for Smart India Hackathon 2025 as Team CodeCatalyst, where we are building an innovation-driven solution titled “Smart Crop Advisory System for Small and Marginal Farmers.” 🌱💡🇮🇳
Our goal is to empower farmers with intelligent, data-backed decisions that help improve crop selection, reduce losses, and increase profitability. Small and marginal farmers often struggle with limited information, unpredictable weather, and fluctuating market prices. Our system aims to bridge this gap using technology, automation, and AI.
🌾 What Our Project Does
Our Smart Crop Advisory System collects and analyzes:
Soil data
Weather patterns
Market trends
Satellite-based vegetation indices (NDVI)
Historical yield data
Using these inputs, our system provides:
🔹 Best crop recommendations
🔹 Fertilizer and irrigation advisory
🔹 Weather and pest alerts
🔹 Market-driven crop price predictions
🔹 Automated delivery via app, SMS, IVR for accessibility
The entire advisory is generated using ML models and LLM-based reasoning, ensuring that every farmer receives personalized, easy-to-understand, actionable insights.
🛠 Technologies & Tools Used
To build this end-to-end intelligent advisory system, we used:
Backend: Python (Flask)
Machine Learning: Scikit-learn
Database: PostgreSQL
Mobile Frontend: Android (Kotlin)
Web Frontend: HTML + CSS
APIs & Integrations:
Weather API
Google Earth Engine (NDVI)
Push Notifications
AI Models:
LightGBM for crop price prediction
Temporal Fusion Transformer (TFT) for forecasting
LLMs for generating advisory text
Cloud Infrastructure: AWS for scalability & deployment
Our system follows a complete pipeline—from farmer registration and data collection to ML-based prediction, LLM-driven advisory generation, and automated delivery through app/SMS/IVR.
Grateful to be part of SIH 2025, a platform that encourages innovation and problem-solving for India’s real-world challenges. Excited to continue building solutions that create meaningful impact in rural development and agriculture. 🚀🌾
#SIH2025 #SmartIndiaHackathon #TeamCodeCatalyst #Agritech #AIinAgriculture #RuralDevelopment #MachineLearning #AWS #InnovationForFarmers #TechForGood
27 Novembre 2025 à 08h18
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