Project Information
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UltaSystems
Job Board
Sept 22 - March 23
Delaware, USA
In the competitive job market, platforms that streamline recruitment and job searching are essential for both companies and candidates. Job boards have evolved to offer more than just listings, with tools that assist recruiters in tracking applicants, evaluating resumes, and managing payments for premium features.
This case study explores the development of a Job Board Application using modern web technologies including React Material Design, Next.js, Python Django, and MySQL. The platform integrates a Payment Gateway for monetization and utilizes an AI-based Applicant Tracking System (ATS) to assist hiring managers in reviewing, filtering, and shortlisting candidates efficiently.
Traditional job boards face numerous challenges that impact both recruiters and job
seekers:
Manual Screening
Hiring managers manually screen hundreds of resumes, making the process time-consuming and error-prone.
Limited Candidate Insights
Traditional platforms provide basic applicant details, limiting the ability to filter and rank candidates.
Lack of Payment Integration
Many job board platforms struggle with integrating flexible payment systems for premium services such as featured listings, resume visibility, or candidate search.
No Seamless Job Posting Process
Creating and managing job posts is often cumbersome, affecting user experience.
Inefficient Communication
Direct communication between hiring managers and candidates is not streamlined, leading to delays and misunderstandings.
The solution is to build a job board platform that addresses these challenges by incorporating AI-powered applicant tracking, flexible payment solutions, and an intuitive user interface.
To build this application, we utilized the following technologies:
Frontend: React with Material Design and Next.js for server-side rendering and enhanced SEO.- Backend: Python Django to manage business logic, applicant tracking, and payment processing.
- Database: MySQL for structured data storage and transaction management.
- AI Services: A custom-built AI-based Applicant Tracking System (ATS) that scores and filters resumes based on relevance.
- Payment Gateway: Integration of Stripe for secure and seamless payment processing.
React was selected for the frontend because of its component-based architecture, allowing for reusability and scalability. Material Design was chosen to give the platform a clean, professional appearance while ensuring a consistent user experience.
Next.js was integrated for server-side rendering (SSR) and static site generation (SSG) to improve SEO performance, making job posts more discoverable by search engines. The platform benefits from the improved speed and responsiveness of Next.js.
Key React and Material Design components include:
- Job Listings: A responsive card-based layout to display job posts and related details.
- Job Post Creation: A step-by-step form for recruiters to easily post job openings.
- Candidate Dashboard: Personalized dashboard for candidates to manage their profiles, applications, and communications.
- Hiring Manager Dashboard: Includes a visual representation of applicant statuses, rankings, and insights.
Django was selected for the backend due to its scalability, robust security features, and built-in support for RESTful APIs. The backend handles user authentication, job post management, applicant tracking, and payment processing.
Django is integrated with Django REST Framework (DRF) to create a set of APIs that allow the frontend to interact with the backend seamlessly. Additionally, the ATS logic is implemented within Django, connecting with the AI model to analyze and rank resumes.
MySQL is used to store all job listings, user profiles, applications, and payment transactions. The relational nature of MySQL allows for efficient querying and ensures data consistency and integrity, especially in complex relationships between job postings, applicants, and hiring managers.
The database schema includes:
- User profiles: Including separate fields for job seekers and employers.
- Job posts: Structured with fields like industry, job title, description, location, and salary.
- Applications: Linking candidates to job posts, tracking status, scores, and feedback.
- Payment Transactions: Logging all payments for premium services.
At the core of the platform is the AI-based ATS, designed to assist hiring managers in sorting through large volumes of applications. The ATS leverages natural language processing (NLP) techniques to parse resumes, extract relevant information, and score candidates based on job requirements.
Key features include:
- Resume Parsing: The ATS automatically extracts skills, experiences, education, and other key metrics from uploaded resumes.
- Candidate Ranking: The system ranks applicants based on job requirements, using algorithms that match skills, experience, and qualifications.
- Automated Filtering: The ATS filters out resumes that don’t meet basic qualifications or job criteria, allowing hiring managers to focus on the best-suited candidates.
- Insights and Analytics: Provides hiring managers with insights, such as applicant trends, top skills, and geographic data.
To monetize the platform, we integrated Stripe for seamless payment processing.
Payment features include:
- Premium Job Listings: Employers can pay to have their job postings featured on the homepage or search results.
- Resume Access: Recruiters can purchase plans to access a database of resumes or unlock additional filters for applicants.
- Subscription Plans: Various tiers of service plans for employers, providing access to enhanced features like detailed analytics and multiple job postings.
The payment workflow is secure, leveraging Stripe’s API for handling transactions, including job listing purchases, subscriptions, and any other premium services.
The architecture is built with a clear separation between the frontend, backend, and AI services to ensure modularity, scalability, and maintainability.
- Home Page: Displays featured job listings and categories, enabling users to easily navigate and search for jobs.
- Job Posting & Search: Job seekers can search for jobs using filters like industry, location, and job type. Employers can create and manage job posts through an intuitive dashboard.
- Application Tracking: Candidates can view their submitted applications and track their status.
- Employer Dashboard: A dashboard for employers to review applicants, manage job posts, and view analytics.
- User Authentication: Secure JWT-based authentication and role-based access control for different user types (job seekers and employers).
- Job Management: APIs for creating, editing, and deleting job posts, along with search functionality.
- Applicant Tracking: APIs for tracking applications, parsing resumes, and providing feedback on applicants’ suitability.
- ATS Integration: The ATS module connects to the Django backend to receive job data and resumes, returning ranked applicants.
- Resume Parsing & Ranking: Resumes are parsed and analyzed by the ATS, which returns a ranked list of candidates based on job requirements.
- Automated Filtering: The AI system filters candidates, automatically discarding those who don’t meet basic criteria or requirements.
- Payment API: Handles transactions for premium services like featured job listings, subscriptions, and access to resume databases.
- Transaction Logging: All payment transactions are securely logged in the MySQL database, ensuring auditability.
- Job Posting: Employers log in to post job listings, paying for premium services if needed.
- Candidate Application: Job seekers search for relevant jobs and submit applications through the frontend.
- Resume Parsing & Applicant Ranking: The ATS parses resumes and returns a ranked list to the hiring manager.
- Payment for Services: Employers can purchase additional services like enhanced job post visibility or resume access using Stripe.
- Job Offer & Communication: Employers can directly communicate with candidates through the platform, send offers, and manage candidate interactions.
Streamlined Job Posting and Application Process
The platform simplifies job posting for employers and job searching for candidates through an intuitive interface with filters and search functionality.
Efficient Applicant Tracking
With AI-powered resume parsing and ranking, the ATS helps hiring managers focus on the best candidates, reducing the time spent on manual resume reviews.
Monetization Through Premium Services
The integration of Stripe enables monetization through premium job postings, resume access, and subscriptions, creating a revenue stream for the platform.
Improved SEO and Performance
Next.js enhances the platform’s SEO performance, improving job listing visibility and overall site speed.
Automated Candidate Shortlisting
The AI-based ATS ensures that only qualified candidates are shortlisted, increasing the efficiency and accuracy of the hiring process.
A mid-sized logistics company, XYZ Logistics, implemented a Python Django-based fleet management system to optimize its 200-vehicle fleet. Before the system’s implementation, the company faced challenges with manual operations, high fuel costs, and frequent compliance violations.
AI Model Accuracy
Challenge: Ensuring the AI model ranks candidates based on accurate relevance to job requirements. Solution: Continuous training and refinement of the ATS model with large datasets of resumes and job descriptions.
Payment Security
Challenge: Ensuring secure and compliant payment processing. Solution: Using Stripe’s robust API ensures that all transactions are secure and compliant with industry standards.
Scalability
Challenge: Managing large volumes of job posts, applications, and transactions. Solution: Leveraging Django’s scalability features, combined with MySQL optimization techniques, allows the platform to handle large data loads.