Develop a Web App for "Risk Vaccine Planner" with PDF Upload and GPT Integration
Budget: $10 – $30 USD
I am looking for an experienced developer to help create a web application that allows users to upload their medical history in PDF format. The application will process the PDF, extract relevant medical data (such as pathologies), and use a personalized GPT to generate a customized vaccine prescription based on the extracted information.
This project involves the following components:
Frontend Development:
Create a user-friendly interface for PDF file upload.
Allow the user to submit their medical history in PDF format.
Display the generated vaccine prescription and justifications based on the user’s medical history.
Backend Development:
Use a tool (e.g., pdf-parse) to extract text from the uploaded PDFs.
Implement an API that connects to the personalized GPT model to analyze the extracted text and generate personalized vaccine recommendations.
Generate a comprehensive report that lists the recommended vaccines and justifications for each.
Personalized GPT Integration:
Use a custom GPT model (created for this project) that has been fine-tuned to understand medical history and provide accurate vaccine prescriptions based on the user's input.
Ensure smooth integration with the personalized GPT for real-time processing and output.
Deployment:
Deploy the application on a cloud platform (such as Vercel, Netlify, or another suitable provider).
Configure the environment variables, including the API key for the personalized GPT for seamless integration.
Key Features:
PDF Upload: Users can upload PDF documents containing their medical history.
Text Extraction: Extract relevant medical information (pathologies, conditions, etc.) from the PDF.
Personalized GPT Integration: The custom GPT model will analyze the text and recommend the appropriate vaccines based on the medical data.
Generated Report: Users will receive a personalized vaccine prescription based on their medical history, which can be displayed or downloaded as a PDF.
Secure and Scalable: The application will be designed to handle sensitive medical information securely.
Skills Required:
React or similar frontend frameworks (for UI development)
Node.js or similar backend technologies
Experience with API integration (especially with custom GPT models)
PDF parsing (using libraries like pdf-parse)
Knowledge of cloud platforms (e.g., Vercel, AWS, Heroku, etc.)
Security best practices for handling medical data
This project involves the following components:
Frontend Development:
Create a user-friendly interface for PDF file upload.
Allow the user to submit their medical history in PDF format.
Display the generated vaccine prescription and justifications based on the user’s medical history.
Backend Development:
Use a tool (e.g., pdf-parse) to extract text from the uploaded PDFs.
Implement an API that connects to the personalized GPT model to analyze the extracted text and generate personalized vaccine recommendations.
Generate a comprehensive report that lists the recommended vaccines and justifications for each.
Personalized GPT Integration:
Use a custom GPT model (created for this project) that has been fine-tuned to understand medical history and provide accurate vaccine prescriptions based on the user's input.
Ensure smooth integration with the personalized GPT for real-time processing and output.
Deployment:
Deploy the application on a cloud platform (such as Vercel, Netlify, or another suitable provider).
Configure the environment variables, including the API key for the personalized GPT for seamless integration.
Key Features:
PDF Upload: Users can upload PDF documents containing their medical history.
Text Extraction: Extract relevant medical information (pathologies, conditions, etc.) from the PDF.
Personalized GPT Integration: The custom GPT model will analyze the text and recommend the appropriate vaccines based on the medical data.
Generated Report: Users will receive a personalized vaccine prescription based on their medical history, which can be displayed or downloaded as a PDF.
Secure and Scalable: The application will be designed to handle sensitive medical information securely.
Skills Required:
React or similar frontend frameworks (for UI development)
Node.js or similar backend technologies
Experience with API integration (especially with custom GPT models)
PDF parsing (using libraries like pdf-parse)
Knowledge of cloud platforms (e.g., Vercel, AWS, Heroku, etc.)
Security best practices for handling medical data