This is a very small part of a gigantic confidential South Korean project where multiple persons' pose estimation and keypoint tracking have been done. The data values of the landmarks have been streamed to the TCP Server through Socket Programming with Python. YOLO version 5 has been used for pose estimation and tracking. Further improvement has been going on which cannot be shared due to strict project confidentiality.

This is a code fragment of another large confidential South Korean project where multiple object recognition has been done. The object data values have been streamed to the TCP Server alinged with Unreal Engine 5 environment through Socket Programming with Python. Here, YOLO version 7 has been used for continuous object recognition and tracking. Further improvement has been going on which cannot be shared due to strict project confidentiality.

This is a code fragment of a magnanimous confidential South Korean project where greetings feature has been done with face distance measurement with OpenCV. The distance data values have been streamed to the Flask and TCP Server alinged with Unreal Engine 5 environment through Socket Programming with Python. Further improvement has been going on which cannot be shared due to strict project confidentiality.

This is an Android mobile application prototype where user can upload a Tomographic Brain X-ray image into the system and get an AI based prediction out of it. The prediction mainly relates to the stage detection of Alzheimer's disease such as: Demented, Mild Demented, Very Mild Demented and Non Demented. Here, I implemented the deep learning model with Tensorflow framework, converted the artifact into Tf-Lite and served it to the Android platform.

TestJet-AI is an AI powered Self-Healing Test Automation System for Mazda-USA within Web and Mobile Platform where I implemented AI- Vision based Image Comparison and OCR Testing capabilities for pixel-by-pixel image verification with Django Rest Framework and core MEVN stack. I also designed the Solution Architecture for self-healing web testing with healenium-python and Django. The beta version of the project has been launch for the users in the market on February 2022 when I was working at Cisscom LLC. Since then it has been gaining rave reviews from the users and software testers.

This is a design based simulation project which represents a research proposal of a cost-efficient sensor based ventilation system with Robotic Arm Approach, for COVID-19 patients in the rural area. On the verge of a massive first wave of COVID-19 outbreak at March'20, studying as a final year undergraduate student, I led this simulation project collaborating with three mechanical engineering students at my university. Demonstrated the features of Leakage Free Oxygen Source, Ventilation Bag attached with Robotic Arm with Transverse Angle, Programmed Stepper Motor for real time Frequency Con- trol and Precise Air Diffusion Rate and Respiratory Sensor for reading the Breathing Rate of the patient. Got acclamation from the Professors at my University due to the realistic feasibility of the design.