CNN Classification Model to classify Species from the Orchid Flowers

Image Classification of 4 Categories of Corn Diseases Using CNN in TensorFlow and Keras, with the model deployed via a Flask API. The model accuracy is 95%.

Final project for Signal Processing course that focuses on Parkinson's Disease detection.

Image Caption Generator - Deep Learning

This repository contains the code for the machine learning model which is used to detect whether a cell image is Parasitized or uninfected

Transformed raw text data into images with the help of Stanford developed GloVe word embeddings. Used with a custom designed ConvNet, in 1D.

Age classification using facial detection

Classification CNN models

A face recognition system, built with Keras

CNN network implemented using the Pytorch Framework from the scratch for classifying the Fashion - MNIST data set, activation layer of RELU is used for the nolinearity and cross entropy for the final backward error propagation, for better visualisation Tensorboard is also incorporated which helped in fine tuning of the hyper params

This a machine learning application made using Django-framework for solving mathematical equations, handwritten by the user itself using a canvas. It utilizes a Convolutional Neural Network(CNN) model for recognizing the input text.

Bachelor's Major Project- Presented at ICMISC 2022

This Project is my final project in my deep learning course in Syracuse University

Detecting emotions through a camera feed in real time using OpenCV and CNNs on a moderately powered CPU.

My list of small Computer Vision projects

Traffic Sign Classifier (project 3 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

The Tomato Leaf Disease Detection model is CNN-based technology for classifying ten infections from images of tomato leaf.

Fruit Classification using CNN.

Classification of MNIST dataset using SVM, ANN, CNN

Repository for detection liveness of faces, thus can detect spoofing attacks.