Abhijeet Sinha

Showcasing my work and thoughts

About Me

I am a passionate researcher and developer with a focus on innovative technology solutions for healthcare and biological sciences. I have worked on cutting-edge projects including gait analysis apps, assistive tools for Alzheimer's patients, and deep learning models for gesture recognition. My expertise spans computer vision, reinforcement learning, and protein structure analysis, with a commitment to advancing urban growth monitoring, rehabilitation, and biomedical research. I hold patents for my gait and Alzheimer’s assistance apps and continue to explore impactful applications of AI and machine learning.

Portfolio

Gait Analysis App Awaiting Patent

Apr 2023 - Present

Under the guidance of Prof. Srinivasa Chakravarthy, CNS lab, IIT-M. Created an Android app that measures gait using data from in-built Gyroscope and Accelerometer sensors, calculating a complete Gait Profile with numerical algorithms.

Assistant App for Alzheimer's Patients Awaiting Patent

Jan 2023 - Present

Under the guidance of Prof. Srinivasa Chakravarthy, CNS lab, IIT-M. Developed a Progressive Web App (PWA) to assist Alzheimer's patients with recalling names of people and objects, featuring a facial recognition system using triplet loss and an object classification system in Javascript.

Deep Learning Model for Hand Gesture Recognition GitHub Link

Dec 2022

Under the guidance of Prof. Srinivasa Chakravarthy, CNS lab, IIT-M. Used the Mediapipe module to recognize and classify hand movements into gestures, enabling communication with smartphones, computers, or drones.

Change Detection Google Colab Link

Sep 2022 - Nov 2022

Under the guidance of Prof. Srinivasa Chakravarthy, CNS lab, IIT-M. A computer vision project developing a model to evaluate changes between two input images, tested with LEVIR-CD and SYSU-CD datasets for urban growth, extensible to land use, agriculture, disaster response, and biological data.

Counting Problem Google Colab Link

Apr 2022 - Aug 2022

Under the guidance of Prof. Srinivasa Chakravarthy, CNS lab, IIT-M. Inspired by biological saccade movement, created a model using reinforcement learning to count objects with human-like behavior.

Analysis of Protein Structure for Structure Prediction GitHub Link

Aug 2020 - May 2021

Under the guidance of Prof. Athi Narayanan, Associate Professor, IIT-M. Conducted statistical analysis of protein structures to understand amino acid neighborhoods, aiding prediction of side chains and vacant spaces.

Blog

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