@LitZeus
Tejas Athalye
@LitZeus
A final year Computer Engineering Undergrad having passion for developing ideas into projects.
A final year Computer Engineering Undergrad having passion for developing ideas into projects.
Pune, India
About Me
I am a passionate developer with a strong background in machine learning and full-stack development. I specialize in building intelligent solutions using Python, Firebase, React, Vite, Node.js, and Solidity for smart contracts. I am driven by the desire to create impactful and user-friendly applications that seamlessly integrate AI, automation, and blockchain technology to solve real-world challenges.
What Drives Me
I am motivated by the challenge of transforming complex problems into simple, effective solutions using technology. I am particularly passionate about leveraging AI to enhance user experiences, improve decision-making, and automate mundane tasks. I constantly seek opportunities to innovate and collaborate, pushing the boundaries of technology to make a meaningful impact.
Interesting Projects
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Varicose Veins Detection Using YOLO (Final year project)
– A detection system using YOLO ensemble with RNN for the detection of varicose veins in images and in real-time, deployed as a web app.
– Convolution encoders used for image pre-processing and enhancement of results.
– Eliminates 90-100% of the costs associated with traditional diagnostic testing. -
SwipeHire: AI-Powered Job & Internship Matching App (Working on)
– AI-driven swipe-based platform connecting job seekers, interns, and recruiters for efficient matchmaking.
– Leverages resume analysis, job descriptions, and engagement metrics to provide personalized recommendations.
– Enables bidirectional swiping for mutual interest, streamlining hiring and applications by reducing the efforts to find perfect candidates. -
NFTix: NFT-Based Ticketing Platform (Built for Unfold 2024)
– React-based Blockchain-powered ticketing web app using NFTs for secure and verifiable event access.
– Built with Solidity, Okto, and IPFS to prevent fraud and enables resale with smart contract-enforced royalties.
– Enhances events with collectible, tradeable NFT tickets. -
CineSenseAI: AI-Based Movie Recommendation System
– Developed the model using NLP, cosine similarity, and sentiment analysis, delivering 27-31% more accuracy than traditional systems.
– Built the application with Flask, AJAX, and the TMDB API.