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Web Application

SYNAPSE — AI-Powered Job Matching Platform

A full-featured platform that parses resumes, matches skills, and generates hiring recommendations in seconds.

4 Weeks
Grade: A+
Riphah International University

Project Details

University

Riphah International University

Department

Software Engineering

Semester

8th Semester — Final Year Project

Duration

4 Weeks

Grade Achieved

A+

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SYNAPSE — Main Dashboard

Project Overview

EduConnect is a full-featured learning management system enabling instructors to publish courses with video content, create quizzes, track student progress, and issue verified certificates. It includes Stripe payment integration, an admin analytics dashboard, and a fully responsive design.

Understanding the Problem

The Challenge

The student needed to refined a technically impressive LMS that also had a polished frontend for their viva presentation. The project had to demonstrate both backend and frontend expertise while meeting strict university documentation requirements.

1

Resume parsing and skill extraction using llms for accurate job matching

2

Analyzing job descriptions to generate candidate fit scores and hiring recommendations

3

Building a sleek Next.js dashboard for recruiters to view candidate profiles and insights

4

Implementing secure authentication for recruiters analyzing sensitive candidate data

5

Comprehensive SRS documentation with UML diagrams, ER diagrams, and test cases for supervisor review

How We Built It

Our Solution

We delivered a production-ready AI-powered job matching platform using Next.js with server-side rendering, FastAPI backend, and Langgraph for LLM orchestration. The clean component architecture and comprehensive documentation made it easy for the student to explain during their viva.

Next.js App Router Architecture

Leveraged the App Router with server components for optimal performance, parallel routes for dashboards, and middleware for authentication & authorization.

Resume Parsing & Skill Extraction

Using OpenAI API to parse resumes and extract relevant skills for accurate job matching.

Job Description Analysis & Fit Scoring

Analyzing job descriptions to generate candidate fit scores and hiring recommendations using LLMs.

AI Assistant for Recruiters

Integrated an AI assistant within the dashboard to provide real-time insights and chat feature on candidate profiles.

Project Screenshots

Visual Walkthrough

Results

Project Impact

A+
Final Grade
63
Pages of Docs
4 Weeks
Delivered In
18
API Routes

Tech Stack

Next.jsFastAPILanggraphPostgreSQLOpenAI APITailwind CSSNextAuthZustand
What Was Delivered

Complete Deliverables

Every project includes production-ready code, comprehensive documentation, and presentation materials — everything needed for a successful submission.

Complete Source Code (Full-Stack Next.js + FastAPI)
SRS Document (63 pages)
Database Schema & ER Diagrams
UML Diagrams (Use Case, Activity, Class)
PowerPoint Presentation (32 slides)
Deployment & Hosting Guide

They delivered a fully working AI job matching platform with a sleek Next.js dashboard. The SRS documentation was so detailed that my supervisor had no questions during the viva. I got an A+ without any revisions.

MK

Moiz Khan

Riphah International University

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