I'm Sumedh S Bhat, a software engineer with a strong academic background and hands-on experience. I developed a meeting summarizer using natural language processing. Proficient in React, MongoDB, SQL. Experienced in internships at Silfra Tech and Epicor. Eager to learn new technologies and skills.
Epicor
Started Work : February 2023
Ended Work : June 2023
Silfra Technologies
Started Work : April 2022
Ended Work : November 2022
Venture Lattice
Started Work : March 2022
Ended Work : April 2022
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The bookstore application is a user-friendly platform designed for book enthusiasts, offering a convenient way to browse, search, and purchase books online. With a vast collection of titles across various genres, the application provides detailed book information, including summaries, author details, and customer reviews. Users can create personalized profiles, manage their reading lists, and receive recommendations based on their preferences. The application also facilitates secure online transactions and offers seamless delivery options. Whether it's discovering new releases or exploring classic literature, the bookstore application aims to provide an immersive and convenient experience for book lovers to explore, purchase, and enjoy their favorite reads.
The quiz application project involves the development of an interactive application that allows users to participate in quizzes on various topics. The application offers a user-friendly interface where users can select quizzes, answer multiple-choice questions, and receive instant feedback on their performance. It incorporates features like timers, scoring, and leaderboard functionalities to enhance engagement and competition among participants. The quiz application aims to provide an enjoyable and educational experience for users, promoting knowledge acquisition and entertainment in a single platform.
The meeting summarizer project aims to develop an automated system that generates concise summaries of business meetings by considering both the audio and video components. Leveraging natural language processing (NLP) and machine learning techniques, the system analyzes meeting transcripts, audio recordings, and video footage to extract important topics, decisions, action items, and participant contributions. By incorporating both audio and visual cues, this application provides comprehensive and informative summaries that enhance knowledge sharing, meeting productivity, and post-meeting follow-ups.
The face recognition system, developed with React and MySQL, utilizes advanced machine learning and computer vision techniques to accurately identify and authenticate individuals based on their facial features. This intelligent application offers user-friendly functionalities for enrollment, database management, real-time recognition, and result display. It finds applications in access control, surveillance, attendance tracking, and personalized user experiences, enhancing security and efficiency in various domains.
7892079226
sumedhbhat01@gmail.com
Bengaluru
