---
title: Agroveda
emoji: ๐ฟ
colorFrom: green
colorTo: green
sdk: docker
app_port: 7860
pinned: true
---
# ๐ฟ AgroVeda - AI-Powered Agricultural Expert System
[](https://huggingface.co/spaces/jeevakm/agroveda)
[](https://python.org)
[](https://flask.palletsprojects.com)
[](https://groq.com)
### ๐ Try it Live: [https://huggingface.co/spaces/jeevakm/agroveda](https://huggingface.co/spaces/jeevakm/agroveda)
---
AgroVeda is a premium, high-performance agricultural expert web application designed to empower farmers and agronomists with real-time AI crop consultation, clinical-grade plant disease detection, localized agricultural weather analytics, and cloud database persistence.
---
## โจ Key Features
### ๐๏ธ Multi-Lingual AI Expert Advisor
* Powered by **Groq (Llama 3.3 70B)** for lightning-fast, comprehensive, and educational agricultural guidance.
* Out-of-the-box support for both **English** and **Tamil (เฎคเฎฎเฎฟเฎดเฏ)**.
* Explains plant diseases through biological causes, symptoms, and step-by-step organic or chemical treatment protocols.
### ๐ฉบ AgroVision AI (Vision Model)
* Integrated TensorFlow image classifier (`agroveda_crop_model.h5`) trained on the PlantVillage dataset.
* Automatically analyzes and diagnoses crop health and pest infections (e.g., Early Blight, Late Blight, Leaf Mold, Bacterial Spot, Spider Mites) from user-uploaded images.
### ๐ฆ๏ธ Localized Micro-Climate Weather Hub
* **Auto-Location**: Detects farm coordinates via browser geolocation.
* **Micro-Climate Zones**: Fetches live weather conditions for the selected city and lists temperatures for 5+ surrounding agricultural sub-stations.
* **24h Forecast**: Smooth scrollable hourly temperature and condition tracker.
### ๐ Supabase Cloud Integration
* **User Authentication**: Secure Sign Up and Sign In flows with configurable email confirmation settings.
* **Persistent Settings**: User name, region, role, default soil type, and weather alert preferences are saved t
o the cloud.
* **AI Optimization**: Dynamically outputs personalized, localized agricultural advice based on the user's soil type and location.
* **Chat Logs**: Automatically saves and restores conversation history for each authenticated user session.
* **Cloud Storage**: Uploads uploaded crop images to a Supabase Storage bucket (`plant_images`) for persistent retrieval.
### ๐จ Premium User Interface
* **Organic Palette**: Clean, simple, gentle light-green theme tailored for agricultural applications (using primary `#3b6e4c` and secondary `#557a5e` green tones).
* **Glassmorphic Design**: Modern, responsive layout featuring quick-access sidebar, dynamic state badges, and interactive profile/notification dropdowns.
---
## โ๏ธ Technology Stack
* **Backend**: Flask (Python)
* **AI/ML**: Groq API (LLM inference), TensorFlow (Local computer vision classification)
* **Database & Auth**: Supabase (PostgreSQL DB, Auth, Object Storage)
* **Frontend**: Vanilla HTML5, CSS3, Tailwind CSS (Form controls), Google Material Symbols
---
## ๐ Installation & Local Setup
### 1. Clone & Environment Setup
Clone the repository to your local machine and set up a virtual environment:
```bash
git clone
cd agri_chat_bot
python -m venv venv
```
### 2. Activate & Install Dependencies
* **Windows**:
```powershell
venv\Scripts\activate
pip install -r requirements.txt
```
* **Linux/macOS**:
```bash
source venv/bin/activate
pip install -r requirements.txt
```
### 3. Database Schema Setup
Execute the following schema in your **Supabase SQL Editor** to create the tables and configure Row Level Security (RLS) policies:
```sql
-- Create Profiles Table
create table public.profiles (
id uuid references auth.users on delete cascade primary key,
full_name text not null,
role text not null default 'Farmer',
location text default 'Madurai, Tamil Nadu',
soil_type text default 'Alluvial Soil',
weather_alerts boolean default true,
updated_at timestamp with time zone default timezone('utc'::text, now()) not null
);
alter table public.profiles enable row level security;
create policy "Users can view and edit their own profiles."
on public.profiles for all
using (auth.uid() = id);
-- Create Chats Table
create table public.chats (
id uuid default gen_random_uuid() primary key,
user_id uuid references auth.users on delete cascade not null,
message text not null,
is_user boolean not null,
image_url text,
created_at timestamp with time zone default timezone('utc'::text, now()) not null
);
alter table public.chats enable row level security;
create policy "Users can view and create their own chat history."
on public.chats for all
using (auth.uid() = user_id);
```
### 4. Storage Bucket Setup
1. In your Supabase dashboard, go to **Storage**.
2. Create a new bucket named `plant_images`.
3. Set the bucket privacy setting to **Public** (so public URLs can be fetched).
### 5. Environment Variables
Create a `.env` file in the root folder of the project:
```env
GROQ_API_KEY=your_groq_api_key
WEATHER_API_KEY=your_openweathermap_api_key
```
### 6. Run Local Server
```bash
python app.py
```
Open `http://127.0.0.1:5000` in your web browser.
---
## โ๏ธ Deployment on Hugging Face Spaces
The repository is configured for free production deployment on **Hugging Face Spaces** using the **Docker SDK**:
1. **Docker Containerization**: Includes a [Dockerfile](file:///c:/Users/Jeeva/agri_chat_bot/Dockerfile) configuring the python environment, installing dependencies, and exposing port `7860`.
2. **Git LFS Enabled**: Large files like the TensorFlow model (`.h5`) and image assets are configured to be stored via Git Large File Storage (LFS).
3. **Deployment Steps**:
- Create a **New Space** on Hugging Face.
- Choose **Docker** as the Space SDK and **Blank** as the template.
- Add your Hugging Face Space repository as a Git remote:
```bash
git remote add hf https://huggingface.co/spaces//
```
- Push your code:
```bash
git push -f hf main
```
- Go to your Space **Settings**, scroll to **Variables and secrets**, and add your secrets:
* `GROQ_API_KEY`
* `WEATHER_API_KEY`
- Hugging Face will build your Docker image and run the application automatically.