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AgriVision AI – Intelligent Crop Disease Detection and Smart Farming Assistant Project

AgriVision AI is an AI-powered smart agriculture platform that helps farmers detect crop diseases from leaf images, obtain disease information, monitor weather conditions, receive agricultural recommendations, interact with an AI farming chatbot, and manage crop …

Difficulty Level
Advanced
Core Modules
7 Modules
Laptop frame

Project Overview

AgriVision AI is a web-based Smart Agriculture and Crop Disease Detection System developed to support farmers in identifying crop diseases at an early stage using Artificial Intelligence and Deep Learning technologies. The system allows users to upload crop leaf images, which are analyzed using a trained Convolutional Neural Network (CNN) model to identify diseases affecting various crops such as tomato, potato, corn, grape, apple, and others.
The platform provides detailed disease information including symptoms, prevention methods, and treatment recommendations using Generative AI. Farmers can also access real-time weather information to make informed agricultural decisions. An AI-powered chatbot assists users by answering farming-related questions, offering crop management guidance, and providing disease-related support.
The system includes user authentication, prediction history tracking, feedback management, administrative monitoring, and analytics features. By combining disease detection, weather forecasting, AI assistance, and agricultural knowledge support, AgriVision AI helps improve crop productivity and reduce farming losses.

Module Breakdown 7 Modules

User Authentication & Profile Management Module
Manages user registration, login, authentication, and user accounts.
Crop Disease Prediction Module
Uses Deep Learning models to identify diseases from uploaded crop leaf images.
Crop Disease Information Module
Provides detailed information about detected diseases using AI-generated agricultural knowledge.
AI Farming Chatbot Module
Offers intelligent agricultural assistance using Large Language Models.
Weather Monitoring Module
Provides real-time weather information to assist farming decisions.
Prediction History & Record Management Module
Stores and manages disease prediction records for users.
Feedback & Administration Module
Collects user feedback and provides administrative monitoring capabilities.

Technology Stack

Python HTML CSS3 Java Script Django SQLite

Project Screenshots 4 Screenshots

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Project Abstract

AgriVision AI is a web-based Smart Agriculture and Crop Disease Detection System developed to support farmers in identifying crop diseases at an early stage using Artificial Intelligence and Deep Learning technologies. The system allows users to upload crop leaf images, which are analyzed using a trained Convolutional Neural Network (CNN) model to identify diseases affecting various crops such as tomato, potato, corn, grape, apple, and others. The platform provides detailed disease information including symptoms, prevention methods, and treatment recommendations using Generative AI. Farmers can also access real-time weather information to make informed agricultural decisions. An AI-powered chatbot assists users by answering farming-related questions, offering crop management guidance, and providing disease-related support. The system includes user authentication, prediction history tracking, feedback management, administrative monitoring, and analytics features. By combining disease detection, weather forecasting, AI assistance, and agricultural knowledge support, AgriVision AI helps improve crop productivity and reduce farming losses.

Project Kit Includes

Complete Source Code
Database Schema & Setup Guide
Project Report Template
Completion Certificate
Installation & Deployment Guide

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