IDEA-AI powered personal farming
assistant for Kerala farmers
High costs and low yields from erratic monsoons and poor data
guidance
Farmers use soil,weather,crop stage and market data.
Simple malayalam voice/text interaction
AI soil and crop guidance from sowing to harvest, optimizing
weather, water, and fertilizer.
TECHNICAL APPROACH
Architecture: Voice-first Flutter app with Python AI backend and
live data APIs.
Tech Stack: LLMs for advice, CNNs for disease detection, ML for
crop prediction.
Modules: Mobile UI, disease scanner, weather alerts, secure
database.
Security & Localization: Dialect support, encryption, anonymized
data, offline mode.
FEASIBILITY AND VIABILITY
Feasibility:
• Built using existing AI, ML, and cloud technologies.
• Integrates readily available weather, soil, and market
data APIs.
Viability:
• Strong long-term demand among Kerala farmers.
• Reduces costs and improves yields sustainably.
IMPACT AND BENEFITS
Empowers Kerala farmers with Malayalam AI
guidance.
Boosts yield, income, and reduces input costs.
Promotes sustainable farming and soil health.
Introduces smart, climate-resilient, region-specific
agriculture.
RESEARCH & REFERENCES
For soil type and content: MANNU app
For weather detection: Weathers app
Programming language: Python
AI tools: OpenAI
Software development tools: GitHub
Web development: HTML and Java
For sustainable farming: Wikipedia
Data management: SQL