Winner of Best AI/ML Implementation at Hack for Humanity 2025!

A modern web application for agricultural monitoring and analysis, combining weather data, soil metrics, disease detection, and yield prediction capabilities powered by artificial intelligence.

• Hack for Humanity 2025
  • Winner: Best use of AI/ML
  • Placed 14th - 42rd overall
  • Participation award

• Real-time weather monitoring
• Soil quality analysis
• Crop distribution visualization
• Agricultural news feed
• Mobile-responsive design

1. Weather Data

   • Temperature and humidity tracking
   • Historical weather data visualization
   • City-based weather search
   • Auto-refresh every 5 minutes

2. Soil Analysis

   • NASA soil data integration
   • Moisture levels monitoring
   • Temperature tracking
   • Multi-depth soil analysis

3. Disease Detection

   • AI-powered plant disease detection
   • Image upload capability
   • Analysis history tracking
   • Real-time disease identification

4. Yield Prediction

   • Crop yield forecasting
   • Growth factor analysis
   • Location-based predictions
   • Recommendation engine

5. News & Alerts

   • Agricultural news aggregation
   • Priority-based alert system
   • Real-time updates
   • Interactive news feed

• HTML5
• CSS3
• JavaScript (Vanilla)
• Chart.js for data visualization
• Responsive design with CSS Grid/Flexbox

• Python
• FastAPI framework

• PyTorch
• Scikit-learn

• Mark Garica Garcia
• Jasper Liu