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PORTFOLIOPILOT is an AI-assisted career review application that analyzes a portfolio, GitHub profile/repositories, and résumé together, then uses the verified source material to produce cross-source feedback and improved résumé content.
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PortfolioPilot was built as a practical exercise in integrating AI into a complete product rather than treating a language model as a standalone chat box.
The application combines multiple career evidence sources:
Each source is analyzed independently first. The results are then cross-referenced so the final review can identify missing evidence, inconsistencies, underrepresented technical skills, weak project descriptions, and opportunities to improve the résumé without discarding verified user information.
Project type: AI SaaS application
Frontend/backend: Next.js + React + TypeScript
Data/Auth/Storage: Supabase
AI layer: Groq OpenAI-compatible client + Llama-family models
Billing: Stripe
Output: analysis reports and generated/improved résumé documents
Career materials often describe the same person differently.
A résumé may omit newer projects. GitHub may show technologies that are not listed as skills. A portfolio may contain stronger explanations than the résumé. Project descriptions can also be generic even when the repository demonstrates real implementation depth.
Reviewing these sources separately misses those relationships. PortfolioPilot is designed around cross-source evidence instead of one isolated document.