Resume of Abhinav Joel T

Abhinav Joel T

CMR Technical Campus

24, Male

Education

Class	Board	Marks
B. Tech., Computer Science Engineering	Jawaharlal Nehru Technological University	62.44
12^th	Other	91.00
10^th	Other	93.00

Skills

Programming Languages	C, C++, Javascript, PHP, Python, HTML
Database	MySQL
Operating Systems	Windows 10, Windows XP/Vista/7, Linux, MacOS
Certifications	Machine learning, Artificial Intelligence
Software	Jupyter notebook, Spyder, Google Colabe, Visual Studio, Python IDE, Photoshop, MS Word, MS Excel, MS PowerPoint
Other Skills	ML, AI, Computer vision, Web development, NLP, CSS

Industrial Experience

End-to-end chatbot framework using LUIS - Srikuthi Agencies	Oct, 2020 - Present
Did extensive research on all the available AI market solutions and built a chatbot using Microsoft Bot Framework with Node JS. Also explored various concepts of Natural Language Processing and developed a bot framework.
Handwritten text to digital Text converter - Srikuthi Agencies	Oct, 2020 - Present
Developed an application which converts handwritten text to digital text using azure computer vision. It converts the handwritten text accurately and generates an output which can be further processed for various use cases.
Various full stack applications - International Institute of Information Technology Hyderabad	Aug, 2020 - Sep, 2020
• Developed full-stack web applications that replicated virtual labs (open-source projects by IIITH) • Explored various full-stack development technologies such as HTML, CSS, JavaScript, Angular, etc.

Projects

Diet Consultant System - Dr. A. Prabhu

Dec, 2021 - Jan, 2022

The main feature of this system is to propose a general and effective approach to replace the traditional method of hiring a dietician using natural language processing. The main goal of the proposed system is to make diet plans available to a lot pf normal people who cannot afford a diet doctor. This model works on the concept of intent recognition where the intention of the person is recognised and an appropriate response is generated for the user and finally a diet plan.

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