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aloktripathi1/README.md

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aloktripathi1

I'm a Data Science student at IIT Madras (Class of '27) focused on building practical AI systems. I work with machine learning, RAG pipelines, agentic workflows and full-stack applications turning ideas into products that solve real problems.

I learn by building, shipping projects, participating in hackathons and exploring how AI systems move from experiments to real-world applications. I'm particularly interested in AI engineering, machine learning, and scalable software systems.

stack

Languages
ML / Data
Backend & Infra
Frontend
Tools

stats





stay curious · keep shipping

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  1. SachCheck SachCheck Public

    An AI-powered claim-level fact verification for articles, news, and images, built to fight misinformation in real time.

    TypeScript 3

  2. Messy-Mashup-Classifier Messy-Mashup-Classifier Public

    Deep Learning pipeline for music genre classification from noisy audio mashups 

    Python 5

  3. Medihub Medihub Public

    A hospital management web app for managing appointments, patient records, and doctor schedules. Built with Flask, Vue.js, SQLite, Redis and Celery.

    Vue 2 1

  4. deadline-intel deadline-intel Public

    A deadline-tracking application designed for IIT Madras BS students to help them manage and monitor course deadlines effectively.

    TypeScript 9

  5. Plant-leaves-Super-Resolution-Challenge Plant-leaves-Super-Resolution-Challenge Public

    End-to-end deep learning pipeline for restoring high-resolution plant leaf images from degraded low-resolution inputs.

    Python 2

  6. Learnsy Learnsy Public

    Learnsy is a distraction-free, YouTube-powered study platform designed for deep learning, habit-building, and knowledge retention.

    TypeScript 2