Created a web application using Flask as a backend framework, that intelligently automates saree color customization through Deep learning and Image Processing Techniques. Collaborated with team to develop the back-end infrastructure and training Deep learning models.

Optimize Recommendation algorithms for Web 3.0 by incorporating ontologies, decentralization, semantic Feature Engineering, and security. By aligning with the principles of Web 3.0, these algorithms can contribute to a more intelligent, personalized, and decentralized web experience.

Task assigned: To implement Machine Learning algorithm for big data on distributed systems for anomaly detection. Successfully Implemented Local Outlier Factor Algorithm for Anomaly Detection in HPCC Systems platform in ECL language. One among 12 interns chosen from America, India, Europe, and Brazil. HPCC internship blog: https://hpccanomalydetection.wordpress.com