Contact person: SaaS AI Resume Scanner

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Location: Mumbai, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a fully-fledged, AI-powered SaaS that lets people—or entire talent teams—upload a job description and their résumé in either PDF or Word, then instantly receive an optimized version that is laser-aligned to the role. The same workflow should also spit out a personalised outreach message (email or LinkedIn) that pairs the new résumé with the JD, ready for immediate networking.

Accounts
The platform must recognise two audiences—individual job seekers and recruiters/HR partners—so role-based dashboards, permissions, and billing plans are essential. Stripe (or a comparable gateway) for subscriptions, tier management, and invoicing will sit behind a clean, modern interface.

Core AI logic
When the optimiser rewrites a résumé it has to balance three priorities in this exact order:
• Inject the right keywords pulled from the JD
• Elevate formatting and readability so it sails through ATS filters
• Maintain a consistent, professional tone and style

Tech expectations
You’re free to choose the stack—Python/Node, React/Vue, AWS/GCP, LangChain/OpenAI—so long as it supports rapid scaling, secure document handling, and pluggable analytics. An admin panel must expose user metrics, subscription health, and basic funnel analytics out of the box.

Acceptance criteria
• Users on both account types can sign up, pay, upload a JD + résumé (PDF/Word) and receive an optimised résumé plus outreach copy in under two minutes.
• All files are stored securely and can be deleted by the user at will (GDPR-friendly).
• Dashboard shows historical uploads, generated assets, and credit usage.
• Admin view tracks active users, MRR, churn, and document counts in real time.
• UI/UX follows a clean SaaS aesthetic and is responsive on desktop and mobile.

If you’ve built or integrated résumé parsers, ATS-friendly formatting engines, or subscription SaaS dashboards before, I’d love to see live links or demos." (client-provided description)