Career Boost
Ananya's focused career companion: Supabase + document parsing, deterministic skill/match/interview/roadmap/portfolio logic. No trained ML claims.
01 — System Overview & Primary Intent
Career Boost is a specialized system engineered by Team Paradox in Gorakhpur, led by Ananya Singh. Students paste résumés and get vague advice. Needed deterministic, auditable analysis from actual document content.
02 — Architecture & Flow
Client PDF/DOCX extraction to text
Deterministic scoring: skills, gap analysis, role match
Interview & roadmap generators from templates
Portfolio scaffolder from parsed evidence
03 — Engineering Decisions & Rationale
- No 'ML model' language — rules + heuristics only
- All scores explain their factors
- Email verify/reset flows included
04 — Known Limitations & Failure Modes
Extraction fails on scanned images (OCR not yet in path)
Roadmap templates limited to tracked roles
Needs human review before real hiring signal
Observed Tech Stack
React / ViteSupabaseServerless APIsPDF/DOCX Extraction
Engineering Governance
All systems undergo internal peer review with strict claims verification. We do not publish simulated benchmarks, fake testimonial quotes, or obfuscated AI wrappers without deterministic fallbacks.