🌾 FasalSetu (फसल सेतु)

Bridging Indian Farmers to Real-Time Multimodal AI Diagnostics & Hyperlocal Climate Intelligence

🚀 Live Production Demo • 🌱 Crop Clinic • 🛰️ Satellite Advisory • 📊 Reviewer Dashboard

📌 Executive Summary

Smallholder farmers across India face devastating crop losses due to late pest identification, unpredictable weather shifts, and generic advisories disconnected from village realities. Most existing digital ag-tech platforms fail because they require typing, lack authentic vernacular voice, or demand paid subscriptions.

FasalSetu (फसल सेतु) is a zero-friction, production-grade agricultural AI clinic engineered from the ground up for Indian farmers:

🌿 Multimodal Vision & Voice Diagnosis: Farmers snap a leaf photo or hold a voice button describing symptoms. Powered by Google Gemini 2.5 Flash, it diagnoses fungal blights, viral curled foliage, rusts, or confirms healthy crops in under 2 seconds.
🗣️ 100% Vernacular Fluency: Full interface and native two-way audio synthesis in Hindi (हिन्दी), Bengali (বাংলা), and English (EN) without robotic text-to-speech.
🛰️ Realistic Google Satellite Farm Mapping: Real high-resolution Google Satellite Hybrid & Roadmap tiles with interactive farm pinning, coordinate locking, and direct Google Maps linking.
📍 Block-Level Auto GPS Detection: Reverse geocodes down to the exact subdistrict, tehsil, and village level using OpenStreetMap Nominatim.
🌦️ Micro-Climate Field Advisory: Real-time 7-day agro-meteorological forecasting from Open-Meteo matching exact farm GPS coordinates.
📊 National Scale & Surveillance Command Center (/admin): A dedicated agronomist/judge surface visualizing crop health across 6 states (Maharashtra, Punjab, West Bengal, Uttar Pradesh, Madhya Pradesh, Karnataka) with drill-down disease case files.
🛡️ Zero GCP Billing Friction: 100% compliant with strict zero-cost hackathon constraints — zero Firebase, zero Vertex AI, zero Cloud STT/TTS fees.

📸 Visual Showcase

☀️ Sunlight-Optimized Light Mode	🌙 Forest Midnight Dark Mode
🎙️ Field Audio Recorder & Guidance	🔬 Multimodal Crop Clinic (/diagnose)
📊 Reviewer & Agronomist Surveillance Command Center (/admin)

🏗️ System Architecture

flowchart TB
    subgraph Client["📱 Farmer & Reviewer Interface (Next.js 16 App Router)"]
        UI_Home["App Home (/)<br/>Dual-Action Selector"]
        UI_Clinic["Crop Clinic (/diagnose)<br/>Photo Capture & Voice Note"]
        UI_Advisory["Advisory Flow (/advisory)<br/>Google Satellite Map & Auto GPS"]
        UI_Admin["Scale Dashboard (/admin)<br/>Multi-State Pathogen Surveillance"]
        UI_Guidance["Startup Guidance & Field Audio Recorder"]
    end

    subgraph CoreEngine["⚡ Next.js Server & Edge API Routes"]
        API_Diag["/api/diagnose<br/>Multimodal Pipeline"]
        API_Adv["/api/advisory<br/>Weather & Agronomy Engine"]
        API_Stats["/api/admin/stats<br/>Regional Aggregator"]
        Geo_Engine["geo-india.ts<br/>Nominatim zoom=14 & Haversine"]
        Gemini_Wrapper["gemini.ts<br/>Exponential Backoff + Jitter Retry"]
    end

    subgraph ExternalServices["🌐 External AI & Geospatial Engines"]
        Gemini_AI["Google Gemini 2.5 Flash<br/>Multimodal Vision, Audio & TTS"]
        OpenMeteo["Open-Meteo REST API<br/>Hyperlocal Micro-Climate (Free)"]
        GoogleTiles["Google Maps Tile Cache<br/>Satellite Hybrid (lyrs=y) & Roadmap"]
        Nominatim["OpenStreetMap Nominatim<br/>Keyless Block-Level Geocoding"]
    end

    subgraph DatabaseLayer["🗄️ Persistence Layer"]
        Supabase_DB[("Supabase PostgreSQL<br/>diagnoses & advisories tables")]
    end

    UI_Clinic --> API_Diag
    UI_Advisory --> Geo_Engine
    Geo_Engine --> Nominatim
    UI_Advisory --> GoogleTiles
    UI_Advisory --> API_Adv
    UI_Admin --> API_Stats

    API_Diag --> Gemini_Wrapper
    API_Adv --> Gemini_Wrapper
    API_Adv --> OpenMeteo
    Gemini_Wrapper --> Gemini_AI

    API_Diag --> Supabase_DB
    API_Adv --> Supabase_DB
    API_Stats --> Supabase_DB

🌟 Key Features & Capabilities

1. Multimodal AI Crop Clinic (`/diagnose`)

Visual Pest & Disease Detection: Takes raw leaf photos directly from mobile camera or file upload. Diagnoses bacterial blights, fungal rusts, downy mildew, leaf curl viruses, nutrient deficiencies, or healthy vigor.
Native Audio Note Understanding: Farmers can press and record voice descriptions in their native dialect (e.g., "मेरे टमाटर के पत्ते पीले पड़ रहे हैं और काले धब्बे दिख रहे हैं"). Gemini 2.5 Flash processes the audio directly without a third-party speech-to-text intermediary.
Spoken Audio Prescription: Automatically speaks the clinical diagnosis and remedy recommendations in natural native audio using Gemini's multi-speaker synthesis.
Resilient Retry Wrapper: Every Gemini API call runs through a 3-attempt exponential backoff with jitter (callWithRetry), absorbing sudden network fluctuations and burst traffic.

2. Realistic Google Satellite Map & Auto GPS (`/advisory`)

Google Satellite Hybrid Layer: Realistic satellite imagery with road network overlays (https://mt1.google.com/vt/lyrs=y) and vector roadmap (https://mt1.google.com/vt/lyrs=m).
Draggable Agricultural Pin: Drag and drop the pin anywhere on fields with live coordinate resolution.
1-Tap GPS Auto Detection: Browser Geolocation API locks GPS coordinates with an animated fly-to camera motion (map.flyTo([lat, lon], 14)).
Subdistrict / Block Accuracy: Reverse geocodes coordinates via OpenStreetMap Nominatim jsonv2 at zoom=14 to reliably identify villages, blocks, tehsils, districts, and states without artificial snapping errors.
Instant Google Maps Redirection: 1-click button (📍 Google Maps में खोलें) opens the farm pin directly in native Google Maps.

3. Hyperlocal Microclimate Agronomy

Fetches real-time temperature, relative humidity, wind speed, precipitation, and rain probability from Open-Meteo for the farmer's exact latitude and longitude.
Gemini 2.5 Flash synthesizes weather data with crop-specific agronomic science to provide tailored irrigation, pesticide spraying, and harvest advisories.

4. Judge & Agronomist Command Center (`/admin`)

Demonstrating National Reach: Live telemetry spanning 6 major agricultural states (Maharashtra, Punjab, West Bengal, Uttar Pradesh, Madhya Pradesh, Karnataka).
Disease Surveillance Heatmap: Live pathogen distribution breakdowns (Early Blight, Rust, Late Blight, Cotton Leaf Curl Virus, Yellow Mosaic).
State Filtering & Case File Drill-Down: Click any surveillance record to open a full modal containing the original field leaf photo, weather conditions, disease classification, and treatment plan.

5. Rural Accessibility & Design System

Forest Midnight Dark Mode: Designed for night-time field usage with eye-friendly forest blacks (#0b140f), deep foliage cards (#131f18), and emerald accents (#22c55e). Zero screen flash during hydration.
Contrast Floor: High-contrast ratios (≥ 4.5:1 for body copy; ≥ 7:1 for headings) ensuring readability under harsh midday sunlight.
Large Touch Targets: Minimum 44×44pt tap targets across all interactive buttons and language selectors.
Field Audio Recorder Modal: Built-in recorder allowing farmers to log audio notes across categories (Leaf Spots, Pests, Irrigation, Growth) and dispatch them directly to the AI Clinic with one tap.

🛠️ Technology Stack

Layer	Technology	Rationale
Framework	Next.js 16.3.4 (App Router, Turbopack)	Server components, edge API routes, fast SSR, zero-config Vercel deployment.
Language	TypeScript	End-to-end type safety across API routes, database schemas, and components.
AI / Multimodal	`@google/genai` (v2.21.0)	Official Google GenAI SDK accessing Gemini 2.5 Flash for vision, audio comprehension, and speech generation.
Styling	Tailwind CSS v4	Modern CSS-variable tokens, `@custom-variant dark`, high-contrast accessible palettes.
Mapping Engine	Leaflet + Google Raster Tiles	Lightweight interactive satellite mapping with zero billing accounts or GCP quotas.
Geocoding	OpenStreetMap Nominatim + BigDataCloud	Free, keyless reverse geocoding resolving accurate Indian subdistricts/blocks.
Weather API	Open-Meteo REST API	Hyperlocal, keyless, zero-cost weather forecasts with hourly precipitation and humidity.
Database	Supabase (PostgreSQL + RLS)	Managed Postgres with Row Level Security, instant REST APIs, and migration tools.
Icons	Lucide React	Consistent, clean 2px line icons adhering to design language constraints.

🚀 Quick Start Guide

Prerequisites

Node.js: v20.x or later
npm or pnpm
A free Google Gemini API Key from Google AI Studio
A free Supabase project from Supabase

1. Clone the Repository

git clone https://github.com/ogMaverick12/fasalsetu.git
cd fasalsetu

2. Install Dependencies

npm install

3. Configure Environment Variables

Create a .env.local file in the project root:

# Google AI Studio Gemini API Key (Required for AI Clinic & Advisory)
GEMINI_API_KEY="your-gemini-api-key-here"

# Supabase Credentials (Optional for local fallback, required for live database sync)
NEXT_PUBLIC_SUPABASE_URL="https://your-project.supabase.co"
NEXT_PUBLIC_SUPABASE_ANON_KEY="your-supabase-anon-key-here"

4. Run the Development Server

npm run dev

Open http://localhost:3000 in your browser.

🗄️ Database Setup (Supabase)

To enable live cloud storage and the Reviewer Dashboard (/admin), execute the following SQL in your Supabase SQL Editor:

-- 1. Create diagnoses table
CREATE TABLE IF NOT EXISTS public.diagnoses (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    created_at TIMESTAMPTZ NOT NULL DEFAULT timezone('utc'::text, now()),
    image_url TEXT,
    crop_type TEXT,
    diagnosis_text TEXT,
    state TEXT,
    language TEXT NOT NULL DEFAULT 'en'
);

ALTER TABLE public.diagnoses ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Allow public insert to diagnoses" ON public.diagnoses FOR INSERT WITH CHECK (true);
CREATE POLICY "Allow public select on diagnoses" ON public.diagnoses FOR SELECT USING (true);
CREATE INDEX IF NOT EXISTS idx_diagnoses_state ON public.diagnoses(state);
CREATE INDEX IF NOT EXISTS idx_diagnoses_created_at ON public.diagnoses(created_at DESC);

-- 2. Create advisories table
CREATE TABLE IF NOT EXISTS public.advisories (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    created_at TIMESTAMPTZ NOT NULL DEFAULT timezone('utc'::text, now()),
    state TEXT NOT NULL,
    district TEXT NOT NULL,
    crop_type TEXT,
    weather_snapshot JSONB,
    advisory_text TEXT NOT NULL,
    language TEXT NOT NULL DEFAULT 'en'
);

ALTER TABLE public.advisories ENABLE ROW LEVEL SECURITY;
CREATE POLICY "Allow public insert to advisories" ON public.advisories FOR INSERT WITH CHECK (true);
CREATE POLICY "Allow public select on advisories" ON public.advisories FOR SELECT USING (true);
CREATE INDEX IF NOT EXISTS idx_advisories_state_district ON public.advisories(state, district);
CREATE INDEX IF NOT EXISTS idx_advisories_created_at ON public.advisories(created_at DESC);

(You can also run the full multi-state dataset seed from supabase/seed.sql to populate 6 Indian states immediately.)

📁 Project Structure

FaasalSetu/
├── docs/
│   └── screenshots/              # High-resolution README showcases
├── public/                       # Static public assets
├── src/
│   ├── app/
│   │   ├── admin/page.tsx        # Reviewer scale dashboard (/admin)
│   │   ├── advisory/page.tsx     # Google satellite map & weather advisory (/advisory)
│   │   ├── diagnose/page.tsx     # Multimodal AI crop clinic (/diagnose)
│   │   ├── api/
│   │   │   ├── admin/stats/      # Aggregated surveillance statistics
│   │   │   ├── advisory/         # Weather + agronomy generation endpoint
│   │   │   ├── diagnose/         # Gemini 2.5 Flash image & audio diagnosis
│   │   │   └── health/           # Production health check endpoint
│   │   ├── globals.css           # Tailwind CSS v4 variables & Leaflet styling
│   │   ├── layout.tsx            # Global metadata, font loading, dark theme script
│   │   └── page.tsx              # Farmer dual-flow entrypoint
│   ├── components/
│   │   ├── RealisticFarmMap.tsx  # Interactive Leaflet map with Google Satellite layers
│   │   ├── StartupGuidanceModal.tsx # Multi-tab guidance & field audio recorder
│   │   ├── IndiaDistrictMap.tsx  # Vector SVG map component
│   │   └── Header.tsx            # Global navbar with language & dark mode toggles
│   ├── lib/
│   │   ├── gemini.ts             # Gemini SDK wrapper with exponential backoff
│   │   ├── geo-india.ts          # Nominatim geocoder & district coordinate hubs
│   │   ├── i18n.ts               # Complete vernacular dictionaries (hi, bn, en)
│   │   ├── seed-data.ts          # Multi-state seed data for fallback & admin metrics
│   │   ├── weather.ts            # Open-Meteo REST client
│   │   └── supabase/             # Supabase client and server helpers
│   └── types/                    # TypeScript data definitions
├── supabase/
│   ├── migrations/               # SQL schema definitions
│   └── seed.sql                  # Multi-state sample records
├── next.config.ts
├── package.json
└── README.md

⚖️ Hackathon Compliance Matrix

Constraint / Rule	Compliance Status	Technical Implementation
No Firebase	✅ 100% Compliant	Zero Firebase packages, SDKs, or tokens in the codebase.
No Vertex AI	✅ 100% Compliant	Powered exclusively by Google AI Studio `@google/genai` (v2.21.0) endpoint.
No GCP Billing Required	✅ 100% Compliant	Leaflet Google Satellite raster tiles + OpenStreetMap Nominatim + Open-Meteo API operate without any GCP billing accounts.
Full Vernacular Fluency	✅ 100% Compliant	Hindi, Bengali, and English natively supported across text, UI dropdowns, and spoken audio.
Free-Tier Hostable	✅ 100% Compliant	Fully operational on Vercel Hobby Free Tier and Supabase Free Tier.

🌐 Public Data API

FasalSetu exposes one read-only, unauthenticated, CORS-open endpoint designed for state government dashboards, agricultural research institutions, and partner platforms to consume aggregate crop disease telemetry — supporting the platform's role as a scalable digital public good enabling states to share agricultural data models.

No personally identifiable information is ever stored. Records contain only crop type, disease name, state, and timestamp.

`GET /api/public/summary`

Live endpoint: https://fasalsetu-theta.vercel.app/api/public/summary

No API key. No authentication. No rate-limit for reasonable polling intervals.

Response shape

{
  "meta": {
    "description": "FasalSetu public aggregate statistics API...",
    "source": "fasalsetu-theta.vercel.app",
    "docs": "https://github.com/ogMaverick12/fasalsetu#public-data-api",
    "generated_at": "2026-09-06T07:30:00.000Z",
    "record_count": 12,
    "data_includes_live_db": true
  },
  "summary": {
    "total_diagnoses": 12,
    "diseased_count": 10,
    "healthy_count": 2,
    "disease_rate_percent": 83,
    "active_states": 6,
    "active_districts": 9
  },
  "diagnoses_by_state": [
    { "state": "Maharashtra",    "total": 3, "diseased": 2, "healthy": 1 },
    { "state": "Punjab",         "total": 2, "diseased": 2, "healthy": 0 },
    { "state": "West Bengal",    "total": 2, "diseased": 2, "healthy": 0 },
    { "state": "Uttar Pradesh",  "total": 2, "diseased": 1, "healthy": 1 },
    { "state": "Madhya Pradesh", "total": 2, "diseased": 2, "healthy": 0 },
    { "state": "Karnataka",      "total": 1, "diseased": 1, "healthy": 0 }
  ],
  "top_diseases": [
    { "disease": "Early Blight (अगेती झुलसा)",   "count": 3 },
    { "disease": "Yellow Rust (पीली रतुआ)",      "count": 2 },
    { "disease": "Cotton Leaf Curl Virus",        "count": 2 },
    { "disease": "Soybean Rust (सोयाबीन रतुआ)", "count": 1 }
  ],
  "crop_distribution": [
    { "crop": "Tomato",  "count": 4 },
    { "crop": "Wheat",   "count": 3 },
    { "crop": "Cotton",  "count": 2 },
    { "crop": "Soybean", "count": 2 },
    { "crop": "Rice",    "count": 1 }
  ],
  "language_breakdown": [
    { "language": "hi", "label": "Hindi",   "count": 7 },
    { "language": "en", "label": "English", "count": 3 },
    { "language": "bn", "label": "Bengali", "count": 2 }
  ]
}

Notes for integrators

Property	Detail
`diagnoses_by_state`	Sorted descending by `total`. Merges live DB records with seed data.
`top_diseases`	Top 10 pathogen names as reported by Gemini, sorted by frequency.
`crop_distribution`	Count of diagnoses per crop across all states.
`language_breakdown`	Tracks which languages farmers are using the platform in.
`Cache-Control`	`s-maxage=300` — CDN caches for 5 min, stale-while-revalidate 10 min.
`Access-Control-Allow-Origin`	`*` — any origin may fetch this endpoint.
`data_includes_live_db`	`true` when Supabase is reachable; `false` means seed-data-only fallback.

👥 Authors & Acknowledgments

Developed with ❤️ for Indian farmers.

Repository: github.com/ogMaverick12/fasalsetu
Live Deployment: fasalsetu-theta.vercel.app
Plant Disease Reference Data: PlantVillage Open Dataset
Geospatial & Climate Data: OpenStreetMap Nominatim & Open-Meteo

Name		Name	Last commit message	Last commit date
docs/screenshots		docs/screenshots
public		public
scripts		scripts
src		src
supabase		supabase
test-assets		test-assets
.gitignore		.gitignore
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
FasalSetu_Pitch_Deck.pdf		FasalSetu_Pitch_Deck.pdf
README.md		README.md
eslint.config.mjs		eslint.config.mjs
fasalsetu-blueprint.md		fasalsetu-blueprint.md
next.config.ts		next.config.ts
package-lock.json		package-lock.json
package.json		package.json
postcss.config.mjs		postcss.config.mjs
tsconfig.json		tsconfig.json

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🌾 FasalSetu (फसल सेतु)

Bridging Indian Farmers to Real-Time Multimodal AI Diagnostics & Hyperlocal Climate Intelligence

📌 Executive Summary

📸 Visual Showcase

🏗️ System Architecture

🌟 Key Features & Capabilities

1. Multimodal AI Crop Clinic (`/diagnose`)

2. Realistic Google Satellite Map & Auto GPS (`/advisory`)

3. Hyperlocal Microclimate Agronomy

4. Judge & Agronomist Command Center (`/admin`)

5. Rural Accessibility & Design System

🛠️ Technology Stack

🚀 Quick Start Guide

Prerequisites

1. Clone the Repository

2. Install Dependencies

3. Configure Environment Variables

4. Run the Development Server

🗄️ Database Setup (Supabase)

📁 Project Structure

⚖️ Hackathon Compliance Matrix

🌐 Public Data API

`GET /api/public/summary`

Response shape

Notes for integrators

👥 Authors & Acknowledgments

About

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Contributors

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🌾 FasalSetu (फसल सेतु)

Bridging Indian Farmers to Real-Time Multimodal AI Diagnostics & Hyperlocal Climate Intelligence

📌 Executive Summary

📸 Visual Showcase

🏗️ System Architecture

🌟 Key Features & Capabilities

1. Multimodal AI Crop Clinic (/diagnose)

2. Realistic Google Satellite Map & Auto GPS (/advisory)

3. Hyperlocal Microclimate Agronomy

4. Judge & Agronomist Command Center (/admin)

5. Rural Accessibility & Design System

🛠️ Technology Stack

🚀 Quick Start Guide

Prerequisites

1. Clone the Repository

2. Install Dependencies

3. Configure Environment Variables

4. Run the Development Server

🗄️ Database Setup (Supabase)

📁 Project Structure

⚖️ Hackathon Compliance Matrix

🌐 Public Data API

GET /api/public/summary

Response shape

Notes for integrators

👥 Authors & Acknowledgments

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1. Multimodal AI Crop Clinic (`/diagnose`)

2. Realistic Google Satellite Map & Auto GPS (`/advisory`)

4. Judge & Agronomist Command Center (`/admin`)

`GET /api/public/summary`