I am an Computer Science and Artificial Intelligence Postgraduate from University of Nottingham, United Kingdom.
I have a keen interest in Machine Learning, Artificial Intelligence and Data Science.
• Developed a driver fatigue detection system with real-time capabilities with a 0.02s response time.
• Utilised a diverse dataset of 42,000 images to train the model which combined Computer Vision (OpenCV) and Deep
Learning.
• Extracted five facial attributes to be used as independent features in the Convolutional Neural Network (CNN)
architecture.
• Employed Keras from the TensorFlow package to augment the different features, improving model accuracy.
• Achieved 97.9% prediction accuracy from the proposed architecture.
An IoT based smart assistant robot which can be used for live video survillance of our home and it's movement can be controlled from anywhere using a GUI. It also has a feature for medicine reminder for old people and features for Home Automation using Speech Commands. It can accept speech commands and reply the answers to querries using Voice.
• Automated Minecraft Server queries to be executed through a Bot using DiscordPy and GUI without manual
intervention.
• Implemented API connections using FastAPI to link the chatbot, Discord Bot, Minecraft Server, and GUI.
• Trained a chatbot using NLP, LSTMs and Seq2Seq models on Cornel Corpus dataset.
• Deployed the project on Raspberry Pi.
A prototype project that helps us in determining what to grow in a soil sample by checking the climate of the place and the soil nutrients.
A prototype of Home Automation that helps us to automate a person’s home.
A Keylogger that stores the keystrokes in the pendrive itself in binary format. This data can be retrived using the "get data.exe" file and the keylogger is named as "game.exe". The project download link is given below.
A cloner that scans for certain extension files in a person’s Personal Computer or Laptop and copies in the removable media from which the program is executed.