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LLM Application

  • Offline Resume Parser is an offline-first, CPU-optimized AI application that converts unstructured PDF resumes into structured, machine-readable candidate profiles entirely on the user's device. The platform performs document extraction, AI-powered information extraction, validation, and local storage without relying on cloud services or internet connectivity.

    Built with React, Vite, FastAPI, SQLite, PyMuPDF, Pydantic, and a locally hosted Small Language Model (SLM) via llama.cpp, the application provides a secure, privacy-preserving solution for recruiters and organizations handling sensitive hiring data. Its modern, responsive interface enables users to upload resumes, view extracted candidate information, browse resume history, and export structured JSON, all while running efficiently on standard CPU hardware.

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  • Ruchulu Lens AI

    Ruchulu Lens AI is a cross-platform AI-powered application that celebrates India's regional food diversity. The app offers:

    Regional Food Explorer – Shows local dishes based on user location, revealing region-specific ingredients, cooking styles, and preparation. Lens Feature (Food Recognition) – Users can upload or capture an image of a dish, and the AI will it and provide ingredients, recipe steps, and cultural context. AI Culinary Assistant – Interactive assistant to answer cooking-related questions, suggest dietary plans, offer substitutions, and guide users through cooking.
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