ResumeMatcher AI

Inspiration

Job seekers often struggle to understand how well their resumes align with different job roles. Many candidates submit applications without knowing which skills they are missing or which positions best match their experience.

We wanted to build a tool that gives users immediate insights into their resumes by identifying their strongest role matches, highlighting skill gaps, and providing actionable feedback. Our goal was to make career guidance more accessible and data-driven.

What it does

ResumeMatcher AI analyzes a user's resume and compares it against multiple job roles.

The platform:

Extracts information from uploaded resumes
Identifies relevant technical skills
Calculates compatibility scores for different roles
Recommends the best matching role
Highlights matched skills
Identifies missing skills that could improve employability
Generates AI-powered recruiter-style feedback and recommendations

This helps candidates understand where they stand and what they can do to become stronger applicants.

How we built it

The application consists of a React frontend and a C++ backend.

Frontend

React.js
Modern dashboard-based UI
Interactive skill and role visualization

Backend

C++
Crow Web Framework
CMake build system

Resume Processing

PDF text extraction using pdftotext
Skill extraction and normalization
Role matching algorithm
Resume scoring engine

AI Integration

AI-powered career feedback generation
Personalized recommendations based on resume analysis results

Challenges we ran into

One of the biggest challenges was extracting meaningful information from resumes that have different structures and formats.

We also had to design a matching algorithm that could fairly compare resumes against multiple job roles while providing understandable results to users.

Another challenge was connecting the frontend and backend seamlessly while ensuring fast analysis and a smooth user experience.