AI Resume Tailoring Platform

AI-Powered Resume Optimization

🚀 In Active Development
Next.js OpenAI Supabase Vector DB

AI Pipeline Architecture

Parse Resume
Extract & Structure
AI Analysis
Match & Optimize
Generate
Tailored Resume

Advanced AI pipeline processing job descriptions and candidate profiles for optimal matching.

Key Features

Smart Job Matching
AI-powered job description analysis
Resume Optimization
Keyword optimization & ATS scoring
Success Tracking
Application success analytics

Project Information

  • Category: AI SaaS Platform
  • Tech Stack: Next.js, OpenAI, Supabase
  • Project Status: In Active Development
  • Role: Founder & Lead Developer
  • Target Launch: Q4 2025
  • Market: B2C SaaS, Job Seekers

📄 Intelligent Resume Optimization Platform Using Advanced AI

• AI-Powered Matching Engine: Developing sophisticated NLP algorithms using OpenAI's latest models to analyze job descriptions and automatically optimize resumes for maximum ATS compatibility and keyword relevance.

• Vector Database Integration: Implementing semantic search capabilities using Supabase's vector database for intelligent resume content matching and skill gap analysis across industry standards.

• Next.js Full-Stack Architecture: Building modern SaaS platform with server-side rendering, API routes, and real-time collaboration features for resume editing and feedback systems.

• Subscription Business Model: Designing tiered SaaS offering with freemium model, advanced analytics for premium users, and enterprise packages for career coaching services.

• Machine Learning Pipeline: Implementing continuous learning system that improves recommendations based on application success rates and industry hiring trends.

Innovation Focus: Solving the critical problem of ATS filtering by combining AI analysis with human-readable optimization - addressing a $200B+ global recruitment technology market opportunity.