Case Studies
Case Study
AI Powered Resume Maker
Built a secure resume analysis workflow that flags skill gaps and delivers actionable recommendations with reliable API pipelines.
Problem & Constraints
Users needed a fast, trustworthy way to analyze resumes without leaking sensitive data or producing noisy feedback.
- Secure data handling for uploaded resumes
- Reliable NLP scoring with clear UX feedback
- Scalable API design for future model upgrades
Solution & Results
- Implemented structured parsing and normalized skill taxonomy mapping
- Designed a scoring pipeline with consistent output formats
- Built a clean feedback UX for prioritized improvements
- Consistent skill-gap insights across varied resume formats
- Actionable recommendations surfaced in a single workflow
- Architecture ready for model upgrades and new integrations
Metrics
- Delivery window: 21 days • 2025-01-12 to 2025-02-02
- Stack breadth: 5 technologies • Next.js, TypeScript, Tailwind CSS, MongoDB, Gemini APIs
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