Jagyasen Bhatra
Data Science Intern @Involead | Backend Developer | Web Developer
| Full stack Developer | Grand Finalist of SIH23 | DevOps
Data Science Intern @Involead | Backend Developer | Web Developer
| Full stack Developer | Grand Finalist of SIH23 | DevOps
Results-driven Software Engineer with a passion for developing innovative AI applications. Proficient in Python, C++, and JavaScript, with a strong foundation in machine learning and deep learning. Experienced in building scalable web applications using Flask and Django. Seeking opportunities to contribute to cutting-edge projects and collaborate with talented teams. * Career goals: Indicates a desire to contribute to innovative projects and collaborate with talented teams.
Discovered my passion for coding and began learning C++ and Java in high school. I was fascinated by the logic and problem-solving aspects of programming.
During my undergraduate studies, I delved into web development, learning HTML, CSS, and JavaScript. I enjoyed creating interactive and user-friendly websites.
I became intrigued by the potential of Artificial Intelligence and Machine Learning, so I started exploring these fields. I learned about various algorithms and techniques for building intelligent systems.
I applied my knowledge and skills to develop innovative projects like DubFusion and Text to Video Generation. These projects demonstrate my ability to combine different technologies and solve real-world problems.
Involead Company | November 15, 2024 - June 30, 2025
Yhills Company | June 2023 - July 2023
DubFusion is an AI application that can dub English videos to Indian regional languages and vice versa. It uses AI, NLP, audio, and video processing to automatically dub videos based on user input (video file or YouTube link) and the chosen target language.
Additionally, it provides transcription and summarization of the video in the dubbed language.
This AI project uses web technology to design an interface for generating videos in 9 Indian regional languages. It can be used for educational purposes, allowing students to input a prompt and receive a video explanation in their local language.
Developed a system that translates Indian Sign Language to text/speech and vice versa, using Computer Vision,NLP,CNN,Streamlit and Other stack.
The Indian Sign Language (ISL) to Text software translates sign language gestures into text or speech, making communication more accessible for people who are deaf or hard of hearing. It uses AI, computer vision, and image processing to analyze and interpret hand gestures, facial expressions, and body movements. This software can be used in various settings, such as education, healthcare, and workplaces, to facilitate communication and bridge the gap between the deaf and hearing communities.