Adithya Hebbalae

About Me

Lifetime Learner

I first discovered my love for coding at 8, through Scratch, building my very first game. From there I explored animations and the fundamentals of programming through JavaScript and Python and have been constantly learning. Since then, I've developed machine learning models to recommend music, predict social media trends, and even reconstruct MRI images. I've also started exploring web development, creating interactive websites and applications. I'm currently pursuing a BS in Electrical and Computer Engineering at UT Austin.

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Projects

Building, learning, exploring

● Live

Visionary: How Computers See

An interactive educational website explaining Computer Vision through hands-on visualizations. Explore pixel matrices, CNN convolution filters, saliency maps, and watch a neural network train in real-time.

Next.jsTypeScriptTailwind CSSFramer Motion

Live Demo GitHub

● Complete

Music Recommender System

A multi-part ML project using CNNs, KNNs, and RNNs to classify and recommend music based on song metadata and audio timbre features. Built across four progressive Jupyter notebook sections.

PythonTensorFlowScikit-learnLibrosa

Live Demo GitHub

● Live

Poker Ledger

A mobile-responsive poker game payout calculator. Configure buy-ins, track chip counts for any number of players, and instantly calculate net gains/losses with balance verification.

HTMLCSSJavaScript

Live Demo GitHub

● Live

Name That Song

A browser-based music guessing game across four genres: Classical, Country, Hip-Hop, and Pop. Listen to audio clips and test your music knowledge.

HTMLCSSJavaScript

Live Demo GitHub

● Live

Valentine's Day Proposal

A creative proposal site disguised as an RSVP form. Features a dramatic reveal, a fleeing "No" button with 10 humorous rejection messages, and full-screen confetti on acceptance.

Next.jsTypeScriptTailwind CSS

Live Demo GitHub

● Complete

AI / ML Experiments

Standalone ML experiment notebooks covering NLP sentiment classification and computer vision. Includes model training, evaluation, and data visualization.

PythonTensorFlowScikit-learnNLTK

Live Demo GitHub

● Complete

Professor Academic Portfolio

A polished academic website for a professor in Child Neurology at the University of Louisville. Built with University of Louisville brand colors and responsive design.

HTMLCSS

About Me

Lifetime Learner

View Projects

Hi, I'm Adi

About Me

Projects

Visionary: How Computers See

Music Recommender System

Poker Ledger

Name That Song

Valentine's Day Proposal

AI / ML Experiments

Professor Academic Portfolio

Hi, I'm Adi

About Me

Projects

Visionary: How Computers See

Music Recommender System

Poker Ledger

Name That Song

Valentine's Day Proposal

AI / ML Experiments

Professor Academic Portfolio