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ProjectsAI Plant Disease Detection System
AI Plant Disease Detection System - 1
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AI Plant Disease Detection System

Deep learning-based system that detects plant diseases from leaf images using CNN with 95%+ accuracy.

CSE5 Tech51 views4.8 (12 reviews)
PythonTensorFlowReactFlaskCNN
₹2,499₹4,99950% OFF
Buy Now
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Secure checkout via Razorpay. Instant download after purchase.
DescriptionFeaturesModulesFAQ

About This Project

An advanced AI-powered system that uses Convolutional Neural Networks (CNN) to detect plant diseases from leaf images with over 95% accuracy. The system includes a React-based web interface f

Software Details

Category
AI projects
Department
CSE
Demo
Available
Rating
4.8 (12 reviews)

Project Timeline

Published

23 May 2026

Students Enrolled

150

Rating

4.8 / 5.0 (12 reviews)

Chat on WhatsApp

Quick reply guaranteed

Chat Now+91 94802 02675

Key Features

CNN-based disease detection with 95%+ accuracy
Real-time image upload and analysis
Treatment recommendations
Admin dashboard for model management
Complete documentation and setup guide
30-day post-purchase support

Technologies Used

PythonTensorFlowReactFlaskCNN

Project Modules

User Authentication

Complete user authentication module with full implementation

Image Upload & Processing

Complete image upload & processing module with full implementation

Disease Detection Model

Complete disease detection model module with full implementation

Results Dashboard

Complete results dashboard module with full implementation

Admin Panel

Complete admin panel module with full implementation

System Requirements

OS

Windows / Linux / macOS

Processor

Intel i3 or higher

RAM

4GB minimum (8GB recommended)

Storage

500MB free space

Internet

Required for initial setup

Browser

Chrome / Firefox / Edge

Frequently Asked Questions

What accuracy does the model achieve?

Our CNN model achieves 95%+ accuracy on the plant disease dataset.

How many diseases can it detect?

The system can detect 38 different plant diseases across 14 crop types.

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