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MediMate is a friendly health assistant chatbot designed to provide comprehensive health related support. From scheduling doctor appointments, extracting prescription details from PDFs, and offering emergency assistance, to dispensing health tips and home remedies, MediMate is your reliable and friendly companion for all your health-related needs.

HTML 4.56% CSS 20.07% JavaScript 33.00% Python 42.37%
embeddings fine-tuning flask gpt-functions langchain openai python react pypdf chromadb

medimate's Introduction

Anshuman Patel -- Full Stack Web Developer!

As an aspiring Full-Stack Web Developer, I bring a background in Civil Engineering from the Government College of Engineering, Keonjhar, Odisha. With hands-on experience in a range of technologies, from HTML, CSS, JavaScript, React, and TypeScript on the frontend, to Node.js, Express.js, MongoDB and MySQL on the backend, I'm adept at both solo and collaborative project development. I've accelerated my development skills as a Prompt Engineer and also demonstrated my commitment to continuous learning and innovation by integrating generative AI and OpenAI tools, and I'm now eager to contribute my skills to organizational growth.


Connect with me


Skills!

Technical skills!

html5 logo css3 logo javascript logo react logo typescript logo nodejs logo express logo fastify logo python logo flask logo mongodb logo mysql logo postgresql logo

Tools!

amazonwebservices logo openai logo redis logo socketio logo figma logo postman logo vscode logo git logo github logo netlify logo vercel logo

Soft skills!

Attention to Detail Adaptability Team Work Time Management

GitHub Statistics!

patel-anshuman patel-anshuman patel-anshuman patel-anshuman

Thanks for checking out my profile, and feel free to contact me if you're interested in collaborating on a project or have any questions!!

medimate's People

Contributors

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Stargazers

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Watchers

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medimate's Issues

frontend

  • basic layout with all UI elements
  • load animation
  • colouring
  • 4 chat suggestions to initiate chat

backend

  • create fine-tuned data
  • fine-tune model
  • integrate model to backend

backend

  • pdf reader
  • create pinecone db vector index
  • integrate to flask app

frontend

  • voice input
  • ui enhance & pixel perfect

backend

  • save chat history in mongo & render on frontend

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