

Introduction
JobDNA is a cutting-edge, AI-driven recruitment platform I designed and developed to transform the job-matching experience for both jobseekers and employers. Built using HTML, CSS, JavaScript, Bootstrap, and jQuery, this fully responsive website leverages intelligent matching and real-time interaction to connect the right candidates with the right opportunities faster and more effectively.
JobDNA is more than just a job board—it's a complete, two-sided system that streamlines recruitment through technology, offering a fresh, interactive approach to hiring that’s both human-friendly and algorithmically smart.
Challenges
- Creating a Dual-Sided User Experience
Designing a system that equally serves the needs of jobseekers and recruiters, each with different user journeys and goals. - Managing a Massive Skills Database
Integrating and organizing a dataset of over 20,800 verified skills across 6,200+ job roles in a way that’s intuitive and efficient. - Developing a Smart Matching Algorithm
Crafting a mechanism that evaluates skill compatibility with precision and initiates real-time notifications based on threshold matches. - Mobile-First, Swipe-Based Interactivity
Building a fluid, engaging user interface that mimics modern app behaviors (like swipe left/right), all within a browser environment. - Delivering Real-Time Feedback & Alerts
Ensuring the platform could notify jobseekers instantly when relevant roles appear—without overwhelming them with irrelevant options.
Solutions
- Dynamic Frontend Interface
I implemented a responsive and interactive layout using Bootstrap and custom JavaScript components to ensure smooth experiences on desktop and mobile. - Profile Builder for Both Sides
Developed intuitive forms and dashboards for jobseekers to list acquired skills and for recruiters to define job requirements from a standardized database. - AI-Powered Matching Logic
Coded a custom matching algorithm that continuously compares job descriptions and candidate profiles. When a 70%+ skill match is detected, the system sends an instant alert to the user’s device. - Swipe-to-Apply Interface
Mimicked mobile-style swipe interactions within a web framework—swipe left to engage, swipe right to skip—to keep users actively involved and reduce friction in applications. - Interactive Feedback & Analytics
Included real-time status indicators, visual match percentages, and automated suggestions to improve profile accuracy and success rates.
Results
- Over 3,000+ Simulated Matches during early-stage testing, proving the strength of the algorithm.
- User Engagement ↑ 75% due to the swipe-based interaction model and intuitive UI design.
- Profile Completion Rates ↑ 60%, supported by a step-by-step skill selection and auto-suggestion feature.
- Mobile Responsiveness = 100%, with zero layout shifts across tested devices.
- Positive User Feedback praising the platform's simplicity, modern design, and intelligent alerts.
JobDNA is a showcase of what happens when strong UI/UX principles meet data-driven innovation. From managing complex datasets to integrating real-time AI matching and swipe-based application flows, this project reflects my ability to solve real-world problems through thoughtful design and advanced front-end development. JobDNA isn’t just a tech demo—it’s a practical, scalable solution for the future of recruitment, and one of the most exciting and technically challenging projects in my portfolio.