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Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: Pull Sharkx2Achievement: YOLO

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aloktripathi1/README.md

Hi, I'm Alok !!

Visitors

crafting intelligence from chaos.

build telemetry

Featured Projects

  • SachCheck — Claim-level fact verification for articles and images. Extracts atomic claims, cross-references 4 evidence sources in parallel (Google Fact Check, Wikipedia, GDELT, ClaimBuster), runs an 11-signal heuristic scorer, and streams verdicts live via SSE — Claude Haiku for extraction, Sonnet for synthesis, OCR fallback chain for images. 1st Runner-Up, Anthropic × IIT Madras CBC Hackathon. Live

  • Messy Mashup Classifier — Multi-label music-genre classification on noisy audio mashups. 6-model ensemble including an Audio Spectrogram Transformer, 0.9614 Macro F1. Top 2.5% of 1,200+ teams.

  • Reed — Memory-first AI mentor for career decisions. Opens every conversation with context pulled from prior goals, patterns, commitments, and past sessions instead of starting cold. TypeScript, Next.js, Claude, Supabase. Live

  • Ridgeline — Full-stack ops management app for tracking work and day-to-day tasks through a production workflow. Vue, FastAPI, SQLite, Redis, Claude. Live

Tech Stack

Python TypeScript SQL PyTorch scikit-learn FastAPI Next.js Redis Docker PostgreSQL Git Linux GitHub Actions AWS

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  1. Reed Reed Public

    Memory-first AI mentor that proactively brings up goals, patterns, and commitments across conversations.

    TypeScript 3

  2. SachCheck SachCheck Public

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

    TypeScript 4

  3. Messy-Mashup-Classifier Messy-Mashup-Classifier Public

    Deep Learning pipeline for music genre classification from noisy audio mashups 

    Python 5 1

  4. 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