Web Application which predicts Plant's Disease using ML Models
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Updated
Mar 25, 2023 - JavaScript
Web Application which predicts Plant's Disease using ML Models
The identification of plant disease is the premise of the prevention of plant disease efficiently and precisely in a complex environment. Machine Learning algorithm this work attempt to predict in an earlier stage and outcomes are better.
Ecosavvy is a waste segregator based on ML model built using CNN and trained over 8000 data samples which segregates waste into 11 different categories.
A web-based solution utilizing a robust tensorflow model for precise traffic condition classification made in ReactJs and FastAPI for backend.
CGI Detection using Deep Convolutional Neural Networks
A web application for classifying clothing photos uploaded by users. It makes use of a deep learning model which is deployed using FastAPI. Achieved 85% accuracy in classifying images.
Experimental NLP system to extract knowldge graph of security force units, personnel, and their ranks from text sources.
vectorizing images using pretrained convolutional neural networks to find euclidian distances between images
Character recognition CNN with server based interface.
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Tensorflow.js PWA for Diagnosing Pneumonia in Frontal Chest X-ray Images using Convolutional Neural Network and Pretrained Model 🧠
A simple demonstration for CNN models.
Web application of detection of car's brand/model and damaged exterior car part. Also, a marketplace of car parts for drivers after detection.
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