Project Info
This project did not submit a demo video on Devpost.
AI-powered farm assistant with real-time insights & voice chat πΎπ€ FarmEasy is an intelligent agricultural companion that helps farmers make better decisions through AI-powered insights. It features: πΊοΈ Smart Onboarding - GPS location, crop selection, farm details in 4 easy steps π€ AI Chat Assistant - Voice & text support powered by Letta Agent π Real-Time Dashboard - Live weather, soil, rainfall & crop insights β‘ Lightning Fast - 1-hour smart caching = <1 second load times π± Mobile-First - Beautiful, touch-friendly interface INSPIRATION Farmers globally struggle with accessing timely, personalized agricultural guidance. We built FarmEasy to democratize farming knowledge using AI and real-time data, helping farmers increase yields and make informed decisions. HOW WE BUILT IT Frontend: βοΈ React + TypeScript + Vite π¨ TailwindCSS + Shadcn UI + Framer Motion π£οΈ Web Speech API for voice π Recharts for data viz Backend: π’ Node.js + Express + TypeScript π Winston logging π Axios for API calls AI & Data: π§ Letta Agent for conversational AI π Bright Data for agricultural insights π€οΈ Open-Meteo API for weather data π¦ Smart localStorage caching Architecture: User β Onboarding β Backend API β Letta Agent β (Bright Data + Open-Meteo) β Dashboard β AI Chat CHALLENGES π Multi-source data integration - Built transformer service to normalize Bright Data & Open-Meteo β‘ Performance - Implemented 1-hour smart caching (instant loads!) π€ Voice accuracy - Added fallback modes & confidence thresholds π± Mobile UX - Mobile-first design with responsive charts π State sync - localStorage as single source of truth β οΈ Error handling - Graceful fallbacks to cached data ACCOMPLISHMENTS β Production-ready full-stack AI app β <1 second load times with smart caching β Voice + text interaction modes β Real-time agricultural data from multiple APIs β Beautiful, mobile-first UI β Letta Agent integration β Offline resilience WHAT WE LEARNED π§ Technical: TypeScript full-stack, Web Speech API, Letta AI integration, caching strategies π¨ Design: Progressive disclosure, voice UX, mobile-first patterns π Architecture: Microservice orchestration, API design, error resilience π₯ Process: Component-driven development, type-safe contracts WHAT'S NEXT Short-term: π Multi-language support (Hindi, Spanish, French) πΈ Crop disease detection with AI π Advanced analytics & yield tracking π Smart weather & irrigation alerts Long-term: π₯ Farmer community & forums ποΈ Marketplace for crops & equipment π Educational content & tutorials π IoT sensor integration π° Financial tools & loan calculators π€ Government scheme integration
This project did not link a GitHub repository.
Analysis
No indexed repository for this project, so there are no commit stats to show.
Technology
- ReactUnchecked
- TypeScriptUnchecked
No repository was indexed for this project, so these Devpost claims have not been checked against code.
AI coding agents
No repository was indexed, so agent usage could not be checked.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
No repository was indexed, so there is no codebase to measure.
This project did not link a GitHub repository, so there is nothing to diagram.
This project did not link a GitHub repository, so its feature claims have not been checked against code.
Export this project's context (description, README, evidence, key source files) to chat with an AI agent elsewhere.