FarmGuide
Your Smart Farming Companion
The problem FarmGuide solves
The Problem It Solves
Crop selection challenges - Farmers struggle to decide which crop to grow based on soil, weather, and market demand.
Low income & high risks - Wrong crop choices often lead to low yield and financial losses.
Generic advisory services - Existing solutions are one-size-fits-all and don’t provide personalized guidance.
Language barriers - Most platforms are only in English, making them hard to use for local farmers.
Connectivity issues Many rural areas have poor internet access, leaving farmers without timely advice.
How It Helps
Provides personalized crop recommendations using AI models trained on soil, weather, and market data.
Gives 7-day market price forecasts with Sell/Hold advice.
Detects crop diseases from images, enabling early treatment.
Supports multiple languages (English, Hindi, Odia, etc.), and even voice-to-text chatbot.
Works in offline mode, so farmers get access even with low or no connectivity.
Challenges we ran into
Challenges I Ran Into
Authentication Issues
Faced errors while setting up Firebase login (Email/Google Sign-in).
Solved by reconfiguring Firebase console and updating sign-in methods.
OTP Verification
Mobile OTP authentication was failing during registration.
Fixed by enabling proper Firebase authentication settings and updating code with async handling.
Multilingual Support
Making the chatbot and app available in Hindi & Odia was tricky.
Integrated Google Translate API for seamless multilingual support.
Model Integration
Running AI models (price prediction & disease detection) was resource-heavy.
Used Firebase + optional FastAPI backend to handle ML tasks efficiently.
UI/UX Challenges
Designing an intuitive farmer-friendly dashboard was harder than expected.
Solved by adding image slides, icons, and simple navigation for better user experience.
Tracks Applied (1)
Best Use of Akash
Akash Network

