Krishna Likhith

Freelancer (Frontend Developer)

Technology
2roles
21skills
2education
5credentials

About

Motivated and detail-oriented Computer Science student with a strong foundation in Artificial Intelligence, Machine Learning, Python programming, web development, and GUI design.

Experience

Data Scientist Intern

ISRO

June 2024 - August 2024

Worked on weather forecasting and environmental prediction projects; prepared satellite datasets using Python, NumPy, Pandas, and Matplotlib; implemented and evaluated Linear Regression, Random Forest Regressor, and Support Vector Machine models; enabled structured data extraction and integration with machine learning pipelines.

Freelancer (Frontend Developer)

October 2024 - Present

Completed four client projects involving responsive web applications using React.js, Node.js, HTML, CSS, and JavaScript; designed user-centric responsive interfaces using React.js and modern UI frameworks.

Education

SRM University AP

B.Tech, Computer Science

2022–Present

Space Central School

Intermediate

2020–2022

Skills

JavaHTMLCSSPythonReact JSTailwind CSSBootstrapTkinterStreamlitMySQLMongoDBTensorFlowHugging FaceNumPyPandasMatplotlibNLTKOpenAI APIscikit-learnJavaScriptNode.js

Projects

TRADE ME - Real-Time Online Trading Platform

Developed a MERN Stack online trading platform for viewing, analyzing, paper trading, and managing stock portfolios in real time. Built interactive React.js dashboards, used MongoDB for user and transaction data, integrated live market APIs, and designed a responsive interface.

AI ChatBot with Voice Integration

Developed a ChatGPT-style chatbot with voice and text interaction using a RAG model and custom machine learning models. Implemented speech-to-text and text-to-speech using Hugging Face Transformers, TensorFlow, and NumPy.

Personalised Student Recommendation System

Developed a Python-based machine learning and RAG system to assess students' knowledge and learning levels, evaluate performance with built-in questions, and provide personalized study recommendations.

Fashion Recommendation System using AR

Developed an AI-powered fashion recommendation system using machine learning to analyze preferences and trends, with augmented reality for virtual outfit try-on and personalized clothing suggestions.