Over the past 2 weeks, I built an AI system that predicts crop yields to help farmers make better decisions. It's now live and anyone can use it! 🌾🤖
What it does: Farmers can input information about their crops (soil type, weather, irrigation, etc.) and get accurate predictions about expected yields. This helps them plan better and potentially increase their harvest by 15-20%!
The Numbers: ✅ 91% prediction accuracy ✅ Tested with 200,000+ agricultural records ✅ Deployed on Google Cloud ✅ Processes predictions in under 1 second
Why it matters: Agriculture feeds the world, but farmers face huge uncertainty. This tool brings modern AI to help them make data-driven decisions. And it's completely free and open source!
Tech used: Python, Machine Learning (Scikit-learn), Flask, Docker, Google Cloud, and lots of coffee ☕
Check it out:
🔗 Live demo & code: Project Repo
This project taught me so much about machine learning, deployment, and building tools that actually help people. Huge thanks to everyone who gave feedback along the way!
What should I build next? Drop ideas in the comments! 👇
#MachineLearning #AI #Agriculture #TechForGood #Python #SoftwareEngineering #DataScience #Programming #Innovation #OpenSource