Projects

1.Image Captioning

It was one of the projects in the Udacity Computer Vision Nanodegree Program which predicts the captions for a given image. I had implemented this project using a combination of CNN and RNN architecture in my model. Link to GitHub  

Written in: Python  

Libraries used: PyTorch  

2. Facial Keypoint Detection

It was a project in the Udacity Computer Vision Nanodegree Program which detects facial key points in an image containing faces. I had an image processing library for processing images and a Machine Learning library for creating a Convolutional Neural Network. Link to GitHub  

Written in: Python  

Libraries used: OpenCV, PyTorch  

3. Supervised Learning approach to Detect Anomalies in Blockchain using Federated Learning.

I was inspired by Research article Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study. I started working on this project on my own. A secure and Private AI course on Udacity will help to do this by Federated Learning. Link to GitHub  

Written in: Python  

Libraries used: PyTorch, PySyft  

4. Fake News Detection using Natural Language Processing and Machine Learning

I was inspired by Research Paper “Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection. Link to GitHub  

Written in: Python  

Libraries used: Scikit-Learn  

Finding Lanes in a Road using OpenCV

I had applied basic computer vision techniques to find lanes in Road. Link to GitHub  

Written in: Python  

Libraries used: OpenCV