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Python Library Assistant Powered by Sanity Structured Content

This is a submission for the Sanity Challenge, Path One: Ship an Agent That Queries Real Content What I Built I developed an AI-grounded Python Library Assistant that queries structured documentation stored directly in Sanity's Content Lake. Ungrounded AI models frequently hallucinate parameter names, syntax, and method signatures. This project solves that problem by grounding technical advice…

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PocketStudy AI – An Offline AI Study Companion

Build for a Friend | Open-Source AI Challenge Every engineering student knows how difficult it can be to understand lengthy PDF notes, prepare for university examinations and practice technical viva…

  • PocketStudy AI is an offline AI study assistant for students.
  • Developed to help with PDF notes, exam preparation, and viva questions.
  • Uses open-source AI to keep study materials on users' devices.

DM Polisher — Open-weight AI cold-DM writer for a friend

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built DM Polisher — a cold-outreach message polisher built for a friend who kept sending the same templated…

  • DM Polisher polishes cold-outreach messages for internship applications
  • Tool generates LinkedIn DMs and cold emails in three concise sentences
  • Built with open-weight Llama 3.1 8B model and React 19 framework

Plumb: I built my friend a tutor for her own codebase, because "the AI writes the code now"

This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built A friend of mine, a software engineer, asked me a question I couldn't shake: why should she keep learning…

  • Plumb is a tutor for specific codebases, not a code generator.
  • Users interact with Plumb via chat interface within their repository.
  • Plumb saves user knowledge, decisions, and skipped topics in .tutor/ folder.

🎯 Focus Mitra -> Gentle, Privacy-First AI Study Companion

What I Built I built Focus Mitra for my close friend who has been preparing for competitive exams and technical interviews while battling severe study paralysis and ADHD.

  • Focus Mitra is a privacy-first AI study companion.
  • Designed to help students with focus and burnout.
  • Offers adaptive Pomodoro cycles and offline models.

How Accurate Is Your Model Right Now? Estimating Accuracy Without Labels

Label-free accuracy estimation under data shift — and the monitoring sidecar that uses it. Scope note: two intent-classification datasets (Banking77, CLINC150), one ModernBERT-base classifier each…

  • Six methods for label-free accuracy estimation discussed
  • Temperature scaling and mean confidence tied on Banking77 dataset
  • MLP error predictor leads on CLINC150 dataset with Detect rate 0.83

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