Next.js
Gemini
OpenAI
Hugging Face
SaaS / AI
Smart CRM
A multi-tenant CRM with AI assistance built into the record, summarising history and surfacing the next action for every account.
- Next.js
- TypeScript
- PostgreSQL
- OpenAI
- +1
PostgreSQLView Case Study
Case Study / AI / Web Application
HireGen AI / 9 weeks
AI Hiring Assistant Platform
A generative-AI hiring platform that parses resumes, drafts job content and screens candidates — Next.js with Gemini, OpenAI and Hugging Face, on Neon PostgreSQL.
- 3+ AI providers wired. Gemini, OpenAI and Hugging Face behind one API.
- 5+ API route groups. Auth, candidates, jobs, questions and tools.
- Serverless Neon data layer. PostgreSQL without server management.
- Next.js
- Gemini
- OpenAI
- Hugging Face
- Neon PostgreSQL
Overview
Client Overview
Personal project — AI product built end to end
Services provided
- AI Product Development
- Web Application Development
- Full-Stack Web Development
- Client
- Personal project — AI product built end to end
- Industry
- Software / HR Tech
- Timeline
- 9 weeks
- Year
- 2026
- Platforms
- Web application
- Team
- 1 engineer
Challenge
Business Challenge
The situation before the engagement, in the client's terms.
Hiring teams drown in resumes and repetitive writing. The platform set out to automate the reading and the drafting, while keeping humans in control of decisions.
- 01
Resume overload
PDFs in every format needing structured parsing.
- 02
Repetitive drafting
Job posts and screening questions rewritten every time.
- 03
Pipeline visibility
Candidates scattered with no shared dashboard.
Objectives
Engagement Objectives
What the build needed to achieve before implementation began.
Automate resume parsing and content drafting with AI
Keep a human in the loop on every hiring decision
Ship auth and dashboards around the AI features
Run on serverless infrastructure with typed APIs
Solution Design
How We Solved It
The approach that addressed each challenge above.
Generative AI went where it earns its place — parsing, drafting and screening support — while typed APIs and a serverless database kept the platform solid.
- 01
Parsed candidates
Resume PDFs become structured candidate profiles.
- 02
AI drafting
Job content and questions generated from model calls.
- 03
Analytics
Dashboard views over the pipeline.
- 04
Gated product
Auth-protected routes for the whole platform.
Capabilities
Key Features
What HireGen AI does in day-to-day use.
Resume parsing
PDF uploads parsed into structured candidate data.
AI job content
Job descriptions and screening questions drafted with generative AI.
Candidate pipeline
Candidates tracked through the hiring workflow.
Analytics
Dashboard views over the hiring pipeline.
Auth
Sign-up, login and gated dashboard routes.
Email automation
Nodemailer-driven email for candidate communication.
Technology Stack
Technology Stack
- Next.js
- React
- TypeScript
- Tailwind CSS
- Framer Motion
- Google Gemini
- OpenAI
- Hugging Face Inference
- Neon PostgreSQL
- Serverless database
- PDF parsing
- Nodemailer
- Next.js API routes
Outcome
Results & Outcome
What changed for the business after launch.
3+
AI providers wired
Gemini, OpenAI and Hugging Face behind one API.
5+
API route groups
Auth, candidates, jobs, questions and tools.
Serverless
Neon data layer
PostgreSQL without server management.
Interface
A Closer Look
Screens from the delivered system.
The platform's AI-first landing page. 
Gated entry into the hiring workspace. 
Pipeline analytics in one view.
Conclusion
The Result
HireGen AI put generative AI directly into the hiring workflow — parsing resumes, drafting job content and screening candidates with a dashboard that shows the pipeline at a glance.
- 3+ AI providers wired: Gemini, OpenAI and Hugging Face behind one API.
- 5+ API route groups: Auth, candidates, jobs, questions and tools.
- Serverless Neon data layer: PostgreSQL without server management.
More work
Related Projects
Other systems built on similar foundations.
AI / Web Application
AI Resume Platform
A web platform that parses resumes into structured data, matches candidates to roles with an explainable score, and generates tailored documents.
- Next.js
- Python
- FastAPI
- OpenAI
- +1
View Case Study
Python
FastAPINext step
Want a System Like This?
Tell us what your business needs to automate and we'll map out a practical build.
hello@thedevrox.comWe reply to every enquiry within one business day.