Naveen Chandra Kanth

B.Tech IT student · Aspiring AI/Full-Stack Developer

Hyderabad, Telangana, India

@naveen_chandra_kanth

LinkedIn GitHub

0 followers

About

B.Tech Information Technology student with experience building AI-powered and full-stack applications using Python, JavaScript, React.js, Node.js, Flask, and databases. Strong in analytical thinking, problem solving, communication, and collaborating on customer-focused enterprise solutions.

Education

Bachelor of Technology

Keshav Memorial Institute of Technology

Information Technology · 2023 – 2027
Intermediate

Narayana Junior College

MPC · 2023
Secondary Education

Narayana Concept School

10th Class · 2021

Skills

<3 months

C SQL Oop Java React Flask CI/CD Python Node.js JavaScript Data Analysis Advanced DBMS Machine Learning Computer Networks Operating Systems Prompt Engineering Requirements Analysis Large Language Models APIs and integrations Application Deployment API Integration Understanding Business process understanding Data Structures and Algorithms Generative AI (ChatGPT, Copilot, Gemini)

Tools / apps / platforms

<3 months

Git Linux MySQL GitHub MongoDB Firebase Jenkins CI Microsoft Excel Amazon Web Services AWS

Projects

NeuroBrite – AI Behavioral Analysis System ↗

Python, AI/ML, React.js, Node.js, MongoDB

AI-powered behavioral analysis system to identify emotional eating patterns and generate personalized recommendations.
Personalized Quiz and Content Generator ↗

Python, React.js, Node.js, Flask, Firebase, LLMs

Generative AI platform that creates personalized quizzes and study materials based on learning goals.
AI Avatar Lab ↗

Python, React.js, Node.js, MongoDB, REST APIs, LatentSync, E2-F5-TTS

AI-powered platform for generating realistic talking avatars using speech synthesis and lip-sync technologies.

Courses & certifications

Machine Learning A–Z™: AI, Python & R + ChatGPT · Udemy · 2025

🏆 Achievements & awards

2nd Prize Winner, AMD Slingshot Hackathon

Won 2nd prize in Hyderabad for developing NeuroBrite, an AI-powered behavioral analysis and recommendation system.
Qualified for Round 2, IIIT Megathon Hackathon

Qualified for Round 2 by developing an on-device AI image enhancement solution using Qualcomm SNPE for real-time low-light image processing.

Explore the Broxer community

💬 Q&A Ask about roles, salaries and interviews — and help others. 👥 Circles Join discussions on skills, companies and industries. 📰 Feed Follow updates and insights from the community.