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🚀 SugarMommy — AI-Driven Sugarcane Marketplace

Created by Team CodeBlooded during 418 hackathon hosted by Enigma under AEON 2025 Bridging the gap between 🌾 farmers, 🏭 sugar mills, and 🚚 distributors using AI-powered sugarcane quality prediction and real-time trading.

🌐 Live Website: https://codeblooded-xi.vercel.app/

🌟 About the Project

In the sugar industry, farmers are often underpaid due to lack of quality measurement and transparency. SugarMommy solves this by

  • 🤖 Predicting sugar content (TS%) using NIR spectroscopy and machine learning
  • 🔗 Connecting farmers, mills, and distributors under one seamless platform
  • 💸 Enabling fair, dynamic pricing based on quality — no middlemen, no friction
  • 📦 Providing inventory and order management

✨ Features

🔬 For Farmers

  • Upload sugarcane data via CSV or web form
  • Automated prediction of Total Sugar (TS%)
  • Receive a quality grade (A–E) and price recommendation
  • List sugarcane batches on the marketplace in real time

📈 For Buyers

  • Browse listings by:
    • Quality Grade (A–E)
    • Predicted TS%
    • Price per ton
  • Buy directly from farmers
  • View quantity and location before purchase

🤖 Machine Learning

🧠 ML Model Highlights

  • Model: Partial Least Squares Regression (PLS)
  • Features: 232 NIR wavelength amplitudes (900–1700 nm)
  • Target: Total Sugar (TS%)
  • Pre-processing: Standardization + IQR outlier removal
  • Accuracy: ~95% (R² Score)

🎯 Sugarcane Quality Grades

Grade TS% Range
A Above 41.69
B 34.24 – 41.69
C 17.4 – 34.24
D 4.76 – 17.4
E Below 4.76

🔗 Live Model: Try it on Hugging Face
🌐 Live Website: https://codeblooded-xi.vercel.app/

🧩 Tech Stack

Layer Tech Used
Frontend Next.js + TypeScript
Backend Firebase
ML Inference Scikit-learn (PLS Regression)
ML UI Gradio
Database Firestore
Hosting Vercel

🧪 Run Locally

Clone the repo and install dependencies:

git clone https://github.com/your-username/sugarmommy.git
cd sugarmommy
npm install
npm run dev