Projects & Works
Explore my research projects, development work, and publications across computer vision, medical imaging, and artificial intelligence.
Research Projects
Backbones of YOLO: A Comprehensive Analysis
Comparative analysis enhancing YOLOv8 with modern CNN, Transformer, and Mamba-based backbones to evaluate performance trade-offs in object detection. This research provides insights into the effectiveness of different architectural choices in computer vision models.
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Thyroid Disease Detection using Medical Imaging
A medical image analysis system leveraging computer vision for the accurate and early detection of thyroid disorders from ultrasound scans. This project demonstrates the application of deep learning in medical diagnosis and healthcare.
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Causality Analysis in Complex Datasets
Applied research on causal inference methods to discover and understand hidden relationships within complex, high-dimensional datasets. This work contributes to the field of causal machine learning and interpretable AI.
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Multi tasking in Echocardiography
Applied research on Multitasking Echocardiography.
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Umbra UNet: Remote Sensing Image Segmentation
This project focuses on developing a novel UNet architecture tailored for remote sensing image segmentation tasks, enhancing the accuracy and efficiency of land cover classification.
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DRISTI: Autonomous Disaster-Response Drone System
An end-to-end autonomous UAV system for survivor detection and medical supply delivery in disaster-affected regions. Built on HolyBro X500 V2 with ArduPilot and on-device Leaf YOLO inference, featuring a novel motorized cable-lowering delivery mechanism. Top 5 Finalists — Smart India Hackathon 2025.
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CardioLens: AI-Powered Cardiovascular Detection
An AI-powered system for early cardiovascular disease detection using deep learning models to analyze retinal fundus images. This project demonstrates the practical application of computer vision in medical diagnosis and preventive healthcare.
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Doc2Data: Towards Digitization of AP Police Handwritten Documents
An AI-powered system for early cardiovascular disease detection using deep learning models to analyze retinal fundus images. This project demonstrates the practical application of computer vision in medical diagnosis and preventive healthcare.
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STAWS: Smart Traffic Analysis System
An AI-powered traffic analysis system that uses computer vision and machine learning to monitor and analyze traffic patterns, providing intelligent insights for urban planning and traffic management.
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ZOYA: Interactive Talking Robot
An interactive talking robot that combines robotics, natural language processing, and human-robot interaction technologies to create an engaging conversational AI experience.
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AI Calculator: Intelligent Mathematical Assistant
An intelligent calculator that uses machine learning to predict and suggest mathematical operations, making complex calculations more intuitive and efficient for users.
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