What I've Been Tinkering With.

A collection of experiments, platforms, and open-source work.

Project / Deep Learning

Image Forgery Detection

The advent of social media has leady to a steadily increasing cases of fake news which seek to promote communal violence, fake scandals, etc. to name a few. The implemented Deep Learning model called ManTraNet (based on 2019 paper of Wu et. al.) is able to detect 385 different types of image forgery and localise the forged region as well.

Image Forgery Detection
Project / Deep Learning

Neural Style Transfer

A neural style transfer algorithm which uses a style image to redraw a content image like the style image.

Neural Style Transfer
Project / Deep Learning, Computer Vision

Driver Drowsiness Detection

A real time driver drowsiness detection system which alerts the driver if they fall asleep due to fatigue. The computer vision software is able to detect forward head tilt angle, closing of eyes and yawning.

Driver Drowsiness Detection
Project / Deep Learning, Mobile App Development

Parkinsons AI

An AI based android app which is able to diagnose the Parkinson's Disease using two independent tests that require only a pencil and a paper. Based on 2017 research paper Distinguishing Different Stages of Parkinson's Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral by Zham et. al.

Parkinsons AI
Project / Deep Learning, Mobile App Development

Crop AI

A diagnostic AI aided mobile app which is able to classify up to 38 different plant diseases ranging for 14 crops and vegetables.

Crop AI
Project / Deep Learning, Object Detection

ASL Sign Language Translator

An object detection model that uses an artificial neural network to label the ASL hand sign alphabets. This deep learning model makes use of the Faster RCNN model architecture to perform the object detection.

ASL Sign Language Translator