Hi, I'm Katru Rithvik

Computer Science Engineering Student

A final-year undergraduate engineering student at Gokaraju Rangaraju Institute Of Engineering And Technology College , Hyderabad.

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About Me

My introduction

I'm a final-year Computer Science undergraduate with a strong foundation in software development, data structures, and emerging technologies. Passionate about building efficient, user-centric applications and solving real-world problems through code. I thrive in collaborative environments, continuously seek to learn and improve, and am eager to contribute to impactful projects in the tech industry.

8.2+ Aggregate
CGPA
2+ Projects
3+ Months
experience
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Skills

My technical level

Programming Languages

C

Java

JavaScript

Python

C#

IT Constructs

DBMS

DS & Algorithms

OOPS

OS

Technologies

Git

MongoDB

MySQL

NextJs

NodeJs

MySQL

Qualification

My personal journey
Education

CBSE

Genesis
International School
- 2020
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Class 10th Summary :

  • Subjects studied: Science, Maths, English, Social Studies,Telugu,Hindi.

  • Scored 90%

Class 12th

Vignan
Jr.College
- 2022
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Class 12th Summary :

  • Subjects studied: Physics, Chemistry, Maths, English, Sanskrit , Hindi.

  • Scored 97%

B.Tech

Gokaraju Rangaraju Institute Of Engineering And Technology College,Hyderabad
2022 - 2026
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College Summary :

  • Studying core subjects of IT including DSA, Embedded systems, Design analysis and algorithm, Operating systems, and Computer architecture .

  • Scored an aggregate of 8.2 CGPA till now.

  • Participated in Epitome-2022 Hackathon.

Projects

Most recent work

Lip Reading AI -- Visual-Speech-Recognition!

Lip Reading Inference Using LipNet is an interactive deep learning application designed to recognize spoken sentences from silent video input by analyzing lip movements. The project leverages a pre-trained LipNet model and a user-friendly Streamlit interface that allows users to upload videos, visualize inputs, and see real-time predictions. It features grayscale video preprocessing, CTC decoding, and structured sentence output, demonstrating practical implementation of computer vision and sequence modeling. The app highlights skills in deep learning, video processing, model deployment, and frontend integration for AI-powered accessibility tools.

GitHub Repository

Music Recommendation System -- Lyrics Based Website

Lyrics-Based Music Recommendation System is an intelligent, content-driven web app designed to suggest songs based on lyrical similarity. Using NLP techniques like TF-IDF and cosine similarity, it analyzes lyrical content to deliver personalized music recommendations. Built with Python and Streamlit, the app emphasizes user-friendly interaction and transparent ML logic. This project showcases skills in natural language processing, machine learning, and full-stack app deployment — ideal for highlighting practical AI applications in entertainment and personalization.

GitHub Repository

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Get in touch

Contact Me

+91 9347313956

Email

krithvik747@gmail.com

Location

Hyderabad, Telangana, India
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