Features

🌾 CropSaarthi — Your Smart Farming Companion

🌟 Inspiration

In India, a majority of farmers still depend on traditional methods and word-of-mouth knowledge. This often leads to crop losses due to undiagnosed diseases, inefficient irrigation, and lack of awareness about government schemes. We were inspired to build a solution that combines AI, weather data, solar insights, and government support — all in one offline-friendly app — to truly empower the grassroots of agriculture.

📱 What it does

CropSaarthi is a mobile-first AI assistant designed for farmers. It provides:

🧠 AI Crop Doctor: Detects plant diseases from images and suggests eco-friendly, natural remedies.
💧 Smart Irrigation Planner: Uses weather data to recommend ideal watering times, saving water and effort.
☀️ Solar Solutions Guide: Calculates savings from solar tools and shows related subsidies.
🧪 Soil Testing Portal: Links to government’s Soil Health Card API to check soil quality.
📢 Welfare Scheme Updates: Informs farmers about active government & CSR programs for training, tools, and subsidies.
🗣️ Voice + Local Language Support: Accessible to non-literate farmers.

🛠️ How we built it

Hugging Face Inference API: For plant disease image classification.
OpenWeatherMap API: To fetch weather data for irrigation logic.
Google Gemini API: For crop care advice and chat-based help.
Indian Government APIs: (e.g., Soil Health Card portal) for real-time soil reports.

🧗‍♂️ Challenges we ran into

Integrating image-based disease detection inside a low-code/no-code environment.
Fetching weather data within platforms that don’t allow direct API calls (worked around using mock inputs).
Ensuring everything works offline or with low bandwidth.
Designing a clean, multilingual interface accessible to rural users.

🏆 Accomplishments that we're proud of

Built a fully functional multi-module assistant under one interface.
Generated realistic AI storytelling with avatars to explain the app.
Simulated complex features like soil testing and CSR scheme updates in an intuitive way.
Created a platform that’s genuinely scalable and meaningful for real users.

📚 What we learned

How to combine multiple AI services and APIs into one seamless tool.
Real-world constraints of rural users: low tech literacy, offline needs, language barriers.
The power of narrative storytelling (daughter-to-father demo) to make tech more human.