Computer Vision & AI Engineering

Developed solutions for object detection, object tracking, and video surveillance utilizing Deep Learning techniques.

• Implemented a reference direction-based entry-exit system and Object Counting Feature using DeepSort.
• Conducted TensorFlow Lite model conversion of DeepSort and executed its deployment on Raspberry Pi hardware.

Developed intelligent healthcare solutions focusing on disease diagnosis and symptom analysis using machine learning algorithms.

• Developed algorithm for many-to-many mapping of symptoms to diseases, enabling disease diagnosis based on symptom sets.
• Created mathematical formulation to facilitate symptom recommendation, improving user experience and healthcare decision-making.
• Generated random datasets to rigorously test and optimize ML algorithms for recommendation systems.