🧩 Client Overview
A fast-growing HR tech startup approached Linea Digitech with a vision: to streamline and accelerate the resume screening process for recruiters by building a Chrome extension powered by AI. The goal was to reduce the time spent manually reviewing resumes on platforms like LinkedIn, job boards, and applicant tracking systems, and to ensure fair, skills-first candidate evaluations.
🎯 Problem Statement
Recruiters and hiring managers were overwhelmed by the sheer volume of applications—many of which did not meet the job criteria. The traditional process of manually skimming through hundreds of resumes was:
- Time-consuming and inefficient
- Prone to unconscious bias
- Difficult to scale for multiple roles
- Inconsistent across different recruiters
The client needed a solution that could quickly assess resumes based on specific job requirements and provide real-time candidate insights—right within the browser.
💡 Solution: AI-Powered Resume Screening Chrome Extension
Linea Digitech designed and developed a lightweight, secure, and intelligent Chrome extension that seamlessly integrates with popular job platforms and delivers real-time AI evaluations of candidate resumes.
🔧 Key Features Delivered:
- Resume Parsing Engine
- Extracts structured data (skills, experience, education, certifications) from LinkedIn profiles and resume PDFs.
- Uses NLP to understand job titles, roles, and career progression.
- Job Description Matching
- AI compares resumes against specific job descriptions using vector embeddings.
- Ranks candidates by match score, skill alignment, and role relevance.
- Bias Detection Module
- Analyzes language and screening patterns to flag potential biases (e.g., age, gender, school preference).
- Suggests inclusive hiring alternatives.
- Smart Filters & Tagging
- Enables filtering based on must-have vs. nice-to-have criteria.
- Tags candidates automatically for follow-up, shortlisting, or rejection.
- Browser Overlay Integration
- Displays results as an overlay on top of job platforms like LinkedIn or ATS dashboards.
- No switching tabs or uploading resumes—real-time insights, in context.
- Admin Dashboard (for Teams)
- Tracks team-wide screening metrics, hiring funnel analytics, and model accuracy.
- Allows continuous AI tuning based on recruiter feedback.
⚙️ Tech Stack
- Frontend: JavaScript, Chrome Extension APIs, ReactJS
- Backend: Python (Flask), FastAPI
- AI/NLP Models: BERT, spaCy, custom job-resume matching model
- Databases: MongoDB, PostgreSQL
- Security: OAuth 2.0, local data encryption, GDPR-compliant data handling
📈 Business Impact
Within three months of deployment:
- 📉 75% reduction in time spent per resume
- 📈 2x faster candidate shortlisting for high-volume roles
- ✅ Increased diversity in shortlists by 28%, aided by bias-flagging
- 🧠 Recruiters reported greater confidence in objective, skills-based screening
- 🔄 Continuous model training led to improving accuracy over time (initial F1-score: 0.84 → 0.91)
