A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

A Python package for adding uncertainties to neural network models of chemical systems.

Simple machine learning in Python/Tensorflow with model saving

Fully connected number recognition neural network

A Convolution Neural Network used for finding genres of songs.

Image Classification of new Indian Currency Notes using Keras and TensorFlow. Build model from scratch.

Attention Based Image Captioning Using Object Features

Repository of Classnalytic Machine Learning API. This project for joining NAPROCK2018 Programming Contest, Japan.

A LSTM (Long Short Term Memory) model + dataset. Utilises the procmon logging system to analyze malware/virus process activity in the form of binary classification [malicious/benign]. Created for my University final project.

ML Powered Object Detection System

A model for reading captchas

Build and train a deep learning model to classify cat and dog images, with model performance analysis.

This code is a fully functional speech emotion recognition algorithm

Classifying Brain tumor images using Keras and Open CV.

Conditional Generative Adversarial Network (cGAN) model built in Python for generating real 2D images of hands depicting Rock Paper Scissors shapes as used in the game.

Back-end repository for my Engineering Thesis: web application categorising hand drawn pictures and shapes using neural network.

Flask based web application which allows users to upload and visualize Keras Neural Network models in an intuitive way.