All work
AI Full-Stack Developer2026REPOSITORY

AI Job Search UI

An AI-assisted workflow for turning a structured CV into tailored, evidence-based job applications.

The problem

Tailoring a CV to each job application is repetitive and easy to get wrong when the underlying profile changes from one version to another. AI Job Search UI uses an imported CV as the source of truth, so adaptations stay grounded in the candidate's actual experience.

Import a structured CV

The /cv workspace has an Import tab for uploading a PDF resume up to 10 MB. Google Gemini extracts personal information, summary, skills, experience, education, languages, and certifications into a structured profile. A strict parsing prompt prevents invented details: fields without source data remain empty.

Users can preview the extracted profile, manage a library of saved CVs, choose an active CV, or delete one. Parsed profiles are stored per browser session in Supabase and the interface explicitly marks the active profile as the source of truth.

Analyze job opportunities

The Generate tab accepts job descriptions from LinkedIn, Indeed, InfoJobs, company career pages, and similar sources. It checks descriptions between 50 and 50,000 characters and persists the current draft in local storage.

The analysis extracts keywords plus required and preferred skills. When an active CV is available, it also evaluates compatibility, including location eligibility such as remote policies or country restrictions. The result separates skills match from the final score, which can include a location penalty, and presents strengths and gaps clearly.

Generate a tailored CV

Users can generate a tailored CV in English or Spanish. The selected language controls the summary, bullet points, and PDF section headings while skill and technology names remain unchanged.

Generated content rewrites and reorders information from the source profile only; it does not invent skills or experience. The tailored preview includes adaptation notes for matched keywords, skills, and gaps, then supports PDF preview and download through @react-pdf/renderer.

Repository

The project is not deployed publicly. Explore the implementation in the AI Job Search UI repository.