Current Project
Mango Leaf Disease Detection System
A deep learning-based system for detecting anthracnose infection in mango leaves using image classification models.
Status
In Progress
Sector
AI & Agriculture
Stack
07
Project Overview
This project applies deep neural networks to identify anthracnose disease in mango leaves, enabling early detection and reducing agricultural losses.
Tech Stack
Challenge
Manual disease detection is slow, inaccurate, and requires expert knowledge.
Delivery
A trained CNN model integrated into a server-side inference pipeline for automated disease classification.
Impact
⭐⭐⭐⭐⭐ Early disease detection Reduced crop loss Improved agricultural efficiency Scalable AI deployment
Project Highlights
Highlight 01
Image preprocessing and augmentation
Highlight 02
CNN-based classification model
Highlight 03
High accuracy detection system
Highlight 04
REST API for predictions
Highlight 05
Scalable deployment pipeline
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