Computer Vision Intern at Cellula Technologies

During my internship at Cellula Technologies, I successfully worked on and deployed multiple real-world artificial intelligence and computer vision projects. One of the key projects was Teeth Disease Classification, where I developed a machine learning model capable of accurately classifying various dental diseases using a comprehensive medical imaging dataset. Advanced algorithms were applied to achieve high diagnostic accuracy, and the final model was deployed to support healthcare professionals in improving diagnosis and treatment planning.

Another major project focused on Flood Rapid Mapping using Optical Data, where I implemented image segmentation techniques to detect and analyze flood-affected areas from satellite imagery. This system enabled rapid and reliable identification of impacted regions, supporting real-time monitoring and facilitating timely responses to natural disasters.

Additionally, I worked on a Shoplifting Detection system using computer vision techniques. The project aimed to enhance retail security by identifying suspicious behaviors in surveillance footage. The deployed solution is operational and provides actionable insights to retailers, helping improve loss prevention and in-store security.

Collectively, these projects demonstrate my ability to design, implement, and deploy AI-driven solutions that address real-world challenges across healthcare, disaster management, and retail security domains.