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Building an AI Powered Resume Analyzer — Phase 01 Implementation

  • An AI-powered Resume Analyzer is being developed to streamline resume analysis process efficiently.
  • Phase 01 implementation highlights the development of a Full Stack Tool with AI integration using openAI GenAI and LLM.
  • Key features released in this phase include Smart AI dashboard, resume parsing with AI-powered NLP, real-time AI guide for improvements, and skills extraction.
  • The system is designed to offer resume recommendations, improvements, and data visualizations, enhancing recruitment processes.
  • Tech stack includes React TS, Vite, Tailwind CSS for the frontend, Python, FastAPI/Flask, OpenAI API, spaCy, pdfplumber for the backend.
  • The architecture includes components for file processing, AI analysis, authentication, and data storage using PostgreSQL and Firebase Firestore.
  • Third-party services like OpenAI API and Firebase Authentication aid in resume analysis and real-time updates.
  • Future phases will introduce advanced features like resume-to-job matching, AI-driven recommendations, and recruiter-friendly tools.
  • Expected outcomes include improved efficiency in applicant filtering and personalized AI-driven resume enhancements for job seekers.
  • The platform aims to become a fully automated hiring assistant, leveraging AI for smarter and faster recruitment processes.

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