๐Ÿ“˜ PathAI โ€” Project Story

Inspiration

Recruitment today is painfully inefficient.

Candidates donโ€™t know which jobs truly fit their skills, why their resumes fail ATS, or what skills they need to build.

Recruiters drown in thousands of applications, many irrelevant or poorly written.

Companies struggle to identify genuinely skilled talent from AI-generated noise.

Despite huge AI advancements, most job portals behave like static search engines.

We wanted to build a platform that thinks, analyzes, and guides โ€” not just lists jobs.

So we built PathAI, an intelligent job-matching ecosystem where:

candidates discover roles that fit them,

recruiters instantly see whoโ€™s truly qualified,

and AI becomes a career coach + hiring analyst.

What It Does

PathAI is a full-stack, AI-powered recruitment platform offering:

For Candidates

Resume upload โ†’ AI parsing (skills, experience, education)

Editable AI-generated profile

ATS-optimized resume generator

AI job matching using skill vectors + experience mapping

Skill-gap detection

Personalized learning path recommendations

Job search + filters + alerts

Application tracking dashboard

For Recruiters

Employer account system

Job posting (salary bands, tags, descriptions)

Applicant inbox

Drag-and-drop hiring pipeline Screening โ†’ Phone โ†’ Manager โ†’ Team โ†’ Final โ†’ Offer

AI candidate ranking

Fake-resume detection & inconsistency analysis

Team collaboration with shared notes & logs

For Admin

Job moderation

User management

Logs & audit trails

Analytics (views, applies, active users)

GDPR compliance & data export

PathAI works seamlessly across mobile + web, all from one codebase.

How We Built It

๐Ÿงฑ Architecture

We designed a unified platform with:

FastAPI backend โ†’ AI pipelines, APIs, authentication

Supabase โ†’ Database, auth, file storage, edge functions

Expo + React Native Web โ†’ A single codebase for mobile + web

Vercel + EAS โ†’ Deployment + builds

๐Ÿค– AI Systems

We developed multiple custom AI modules:

Resume Parser: embeddings + heuristics + LLM refinement

Skill-Gap Analyzer: identifies missing abilities

ATS Resume Generator

Candidate Ranking Algorithm

Fake Resume Detector: flags timeline gaps, inflated experience, duplicated text

๐ŸŽจ Frontend

We built three complete flows:

Candidate app

Employer dashboard

Admin console

Everything is responsive, mobile-ready, and production-grade.

Challenges We Ran Into

  1. Resume Parsing Complexity

PDFs, DOCX, and image-based resumes had inconsistent formatting. We solved this using multi-stage cleaning + LLM refinement.

  1. Creating a Smart Matching Algorithm

Matching isnโ€™t just cosine similarity โ€” we had to incorporate:

experience weight

job recency

skill priorities

gap penalties

Requires careful tuning to feel โ€œhumanโ€.

  1. Designing 3 different user experiences

Each user type (candidate, employer, admin) needed a unique flow.

  1. Building a drag-and-drop hiring pipeline

Making it smooth on both web and mobile was challenging.

  1. Ensuring fast performance

Vector computation + DB queries required caching and optimization.

Accomplishments That Weโ€™re Proud Of

Built a fully functional, end-to-end hiring platform in a short time.

Created multiple AI pipelines from scratch.

Delivered a single codebase for mobile and web.

Designed a clean, intuitive user experience for all sides.

Built employer tools powerful enough for real HR teams.

Created AI systems that actually enhance the recruitment process, not gimmicks.

PathAI doesnโ€™t feel like a hackathon app โ€” it feels like a real product.

What We Learned

๐Ÿ”ฅ 1. AI product-building is 50% engineering, 50% UX

Models mean nothing if users donโ€™t understand recommendations.

๐Ÿ”ฅ 2. The hiring domain is deeper than expected

ATS patterns, recruiter psychology, fake CV signals โ€” itโ€™s an entire science.

๐Ÿ”ฅ 3. Using FastAPI + Supabase + Expo is insanely productive

We shipped a multi-role MVP at production quality.

๐Ÿ”ฅ 4. Good data modeling saves weeks of patching

Proper DB schema = clean features + easy scaling.

๐Ÿ”ฅ 5. AI-driven features need transparency

We built scoring explanations so users trust the system.

Whatโ€™s Next for PathAI

We plan to expand PathAI into a fully scalable career ecosystem:

๐Ÿ”ฎ Real-time mock interviews with AI feedback

๐Ÿ“Š Advanced recruiter analytics

๐ŸŽฏ AI auto-generated job descriptions

๐Ÿ“ฑ Full mobile app release (EAS build)

๐ŸŒ Public API for integrations with companies

๐Ÿ”Ž Deep background + portfolio analysis

๐ŸŽ“ Personalized career roadmap dashboard

PathAI is now ready to grow into a full SaaS recruitment intelligence platform.

Built With

Share this project:

Updates