Res was an IOS application idea that allowed individuals to step out of their comfort zone and attend events near their location. A full report of the application along with the mock-ups can be found in this repository.

Error Related Negativity (ERN) signals in brain are detected using Siamese Network.

gesture-based action recognition system that translates hand poses into meaningful computer actions.

Interface design project for Human-Computer Interaction subject at KTH university in Stockholm, Sweden.

"Share Your Blessing" is a web platform that allows users to send gifts to children in orphanages during the Christmas season. The platform offers various gift options, including clothes and toys, to spread joy and love, creating a meaningful way to support children in need during the holidays.

An interactive tool to analyze web pages for accessibility issues

Mouse Tracking using Eyeballs is a Python-based project that allows users to control their mouse cursor using only eye movement and blinks. It uses MediaPipe FaceMesh to track facial landmarks and PyAutoGUI for cursor control, making it an accessible, hands-free alternative to traditional input devices.

Gesture Control Assistant lets you interact with your computer using hand gestures captured by your webcam. Powered by computer vision and machine learning, it enables touchless control for tasks like cursor movement, clicking, scrolling, and adjusting system settings like volume and brightness.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Emotion Recognition from Speech using ML analyzes vocal features to identify emotions, supporting applications in mental health, customer support, and enhanced human-computer interaction through intelligent emotion detection.

A system for recognizing and interpreting hand gestures using machine learning and computer vision techniques.

This project involves designing and developing a conversational chatbot application using Python. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

Sportspedia interface designed with a human-centered approach using personas, empathy maps, and user mental models. Iteratively refined through lo-fi to hi-fi prototypes, task flows, and usability testing in Figma to enhance clarity, accessibility, and user engagement with sports literacy.