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PortfolioHR TechHireAI

HireAI – Hire 5× Faster with
AI Candidate Matching.

AI-powered job portal that cut resume screening time by 50%+ using GPT-4 and semantic vector search. LLM-based resume parsing, pgvector semantic matching, and a full recruiter dashboard — shipped as a production-ready MVP in 8 weeks.

HR TechHR TechWeb ApplicationSemantic AI MatchingMVP · 8 weeks4 Developers2026
Product Screenshots

A look inside the product.

Visual walkthrough of the key screens and workflows.

HireAI – AI Recruitment Platform screenshot 1
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HireAI – AI Recruitment Platform screenshot 2
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HireAI – AI Recruitment Platform screenshot 3
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HireAI – AI Recruitment Platform screenshot 4
4 / 4

Recruiters were drowning in resumes. Keyword filters missed great candidates, and manual screening ate up 60–70% of every hiring day. The client needed an AI-powered job portal that could parse resumes intelligently, match candidates to job descriptions semantically, and give their team back their calendar. In 8 weeks, GroveTech shipped HireAI — a production-ready recruitment platform that cut screening time by more than half and has been running rock-solid since launch.

About the Project

From a 60-hour screening week to a 20-hour one.

HireAI is a full-stack AI recruitment platform built for a mid-size enterprise hiring team. The brief was simple but ambitious: replace manual resume screening with intelligent AI automation without losing the human judgment that makes great hires happen. Designed around two users — recruiters who needed speed and visibility, and candidates who wanted transparency on where their application stood.

!

The Problem

  • Recruiters spent 60–70% of their day manually screening resumes with no time left for actual hiring.
  • Keyword-based ATS filters kept rejecting qualified candidates who didn't use the exact right terms.
  • Interview scheduling across multiple panels took days of back-and-forth emails to confirm.
  • No visibility into funnel health, drop-offs, or how long roles actually took to fill.
✓

Our Solution

  • LLM-based resume parser extracts clean, structured candidate data from any PDF or DOCX file.
  • Vector embeddings with pgvector for semantic job-description-to-candidate matching with explainable scores.
  • Recruiter dashboard with AI-ranked shortlists, status tracking, panel notes, and time-to-hire metrics.
  • Candidate portal with public job listings, one-click apply, and a transparent application status tracker.
Tech Stack

A modern, scalable AI-first foundation.

pgvector on PostgreSQL — no separate
vector DB overhead.

Recruitment AI Pipeline
Semantic vector matching
Step 1
GPT-4
Resume Parsing
Step 2
L
LangChain
Orchestration
Step 3
p
pgvector
Semantic Matching
Step 4
PostgreSQL
Candidate Store
Next.js
Node.js
FastAPI
Redis
AWS
Docker
Tailwind
Key Features & Product Screens

A look inside the HireAI platform.

Four core workflows that power the recruiter and candidate experience on day one — from resume drop to confirmed interview.

Smart Resume Parser
01

Smart Resume Parser

Upload a PDF or DOCX resume and HireAI extracts the candidate's name, contact info, skills, experience, and education into clean structured data — no more copy-paste from email attachments.

Semantic JD Matching
02

Semantic JD Matching

Instead of keyword matching, HireAI uses vector embeddings to understand what a job actually requires and what a candidate actually brings. Every match comes with an explainable score — Skills, Experience, Domain.

Recruiter Dashboard
03

Recruiter Dashboard

One central view for every open role. See AI-shortlisted candidates, update application statuses, leave interview notes, and track time-to-hire in real time — without switching between spreadsheets and email.

Candidate Application Flow
04

Candidate Application Flow

Public job listings, one-click apply, auto-acknowledgement emails, and a transparent status tracker so candidates always know where they stand. Fewer 'did my application go through?' emails.

Results & Impact

Numbers that made the business case obvious.

50%+
Screening Time Cut
92%
Match Accuracy
8 wks
MVP Delivery
6.2d
Avg. Time-to-Hire
9/10
Recruiter Rating
Phase 2 · Planned

What's coming next on the roadmap.

+AI Interview Scheduler+Conversational Screening Bot+Bias Detection+Advanced Hiring Analytics+Video Interview Analysis+WhatsApp Notifications+Multi-language Support
Client Feedback

What the Head of Talent Acquisition had to say.

"

GroveTech understood our hiring pain points almost better than we did. The AI-matching engine alone cut our screening time by more than half, and the platform has been rock-solid since launch. Their team shipped a clean, production-ready MVP in eight weeks and continued supporting us well beyond go-live. One of the best tech partnerships we've had.

RS

Rohit Sharma

Head of Talent Acquisition · [Client under NDA]

Let's Build Together

Have a hiring workflow that's still running on spreadsheets?

Whether it's recruitment, document processing, customer support, or any business process slowed by repetitive manual work — GroveTech's AI team can help you scope, design, and ship a production-ready AI MVP in 8–12 weeks. No endless discovery phases. No vendor lock-in. Just working software that moves the needle.

✓NDA-ready engagements✓Fixed-scope MVP pricing✓21+ projects shipped
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