Aditya Sihmar

I am a third-year undergrad who is passionate about data science. I have a very keen interest in computer vision and GANs with good Data analytics and Statistical skills. My team recently placed 3rd in a National level hackathon, with 95+ teams, where we developed an AI-based integration for CCTV systems to enable auto anomaly detection.

The projects on which I have worked on :
1.) PBS - This is an app-based solution for building a portrait of a person. Primarily designed for criminal identification. I developed an AI algorithm that identifies a person from a provided criminal database by matching 200 different facial keypoints. And if there is no previous record of that person then AI will generate a full front-facing 2D portrait of that person from even a blurry side facing CCTV image.

2.) IRIS - I developed an AI-based software integration for current surveillance systems for intelligent detection of any kind of abnormal activities and report to the owner and the authorities to prevent disastrous situations.

3.) Developed a deep learning algorithm that reduces noise and any kind of missing portions in the image by reconstructing a super resolved clear image.