Comprehensive College Job Board Platform
Budget: ₹1,500 – ₹12,500 INR
Build a full-stack web application using the MERN stack (MongoDB, Express.js, React.js, Node.js) named Engineering Placement Management Platform. The system must support three role-based authentications: 1) College 2) Student 3) Company with separate registration and login using JWT authentication and role-based authorization. The UI must be clean, modern, fully responsive, and support both dark and light themes.
1) College Module (Main Admin):
1.1) View registered companies.
1.2) View their students.
1.3) Track students’ interview progress with detailed analytics (rounds cleared, failures, placements, company-wise statistics).
1.4) Create and manage placement drives.
1.5) Notification system to inform students about drives.
2) Student Module:
2.1) Register and login.
2.2) Create and manage profile (education, skills, certifications, projects).
2.3) Search jobs, apply and auto apply for jobs function (based on ATS score above 90), and track application status
2.4) Resume builder with downloadable PDF templates.
2.5) 24/7 AI chatbot for student queries and placement guidance.
2.6) ATS score system with improvement suggestions.
2.7) Career roadmap for engineering students (industry, government, higher studies, entrepreneurship).
2.8) AI interview feedback system suggesting weak areas, YouTube/Udemy courses, and mock tests.
3) Company Module:
3.1) View student profiles, resumes, projects, and posts.
3.2) Post jobs with role, skills, salary, eligibility, and deadline.
3.3) Collaborate with colleges for placement drives.
3.4) Real-time communication between company, student, and college.
Technical Requirements:
RESTful API architecture.
Modular folder structure.
Dashboard analytics with charts.
Real-time notifications using Socket.io.
Secure APIs, validation, and error handling.
Scalable and deployment-ready architecture.
Documentation & Deployment Requirements:
- Provide complete 50–60 pages detailed project documentation including:
- Introduction
- Problem Statement
- Objectives
- System Architecture & Design
- Database Schema
- API Design
- Implementation Details
- Modules Explanation
- Testing
- Deployment
- Conclusion
Guide step-by-step for:
- Uploading the project to GitHub.
- Deploying the project on cloud so it is publicly accessible and searchable on Google.
- API Keys & Environment Configuration:
- Clearly mention wherever API keys, secret keys, database URLs, JWT secrets, cloud storage keys, chatbot API keys, email service credentials, or any third-party service - credentials are used.
- Use .env environment variables for all sensitive data.
Provide clear instructions on:
- Where to generate those keys (e.g., MongoDB Atlas, OpenAI, Cloudinary, etc.).
- How to replace them with my own keys.
- How to configure environment variables for local development and production deployment.
Ensure no hardcoded secrets are used in the code.
1) College Module (Main Admin):
1.1) View registered companies.
1.2) View their students.
1.3) Track students’ interview progress with detailed analytics (rounds cleared, failures, placements, company-wise statistics).
1.4) Create and manage placement drives.
1.5) Notification system to inform students about drives.
2) Student Module:
2.1) Register and login.
2.2) Create and manage profile (education, skills, certifications, projects).
2.3) Search jobs, apply and auto apply for jobs function (based on ATS score above 90), and track application status
2.4) Resume builder with downloadable PDF templates.
2.5) 24/7 AI chatbot for student queries and placement guidance.
2.6) ATS score system with improvement suggestions.
2.7) Career roadmap for engineering students (industry, government, higher studies, entrepreneurship).
2.8) AI interview feedback system suggesting weak areas, YouTube/Udemy courses, and mock tests.
3) Company Module:
3.1) View student profiles, resumes, projects, and posts.
3.2) Post jobs with role, skills, salary, eligibility, and deadline.
3.3) Collaborate with colleges for placement drives.
3.4) Real-time communication between company, student, and college.
Technical Requirements:
RESTful API architecture.
Modular folder structure.
Dashboard analytics with charts.
Real-time notifications using Socket.io.
Secure APIs, validation, and error handling.
Scalable and deployment-ready architecture.
Documentation & Deployment Requirements:
- Provide complete 50–60 pages detailed project documentation including:
- Introduction
- Problem Statement
- Objectives
- System Architecture & Design
- Database Schema
- API Design
- Implementation Details
- Modules Explanation
- Testing
- Deployment
- Conclusion
Guide step-by-step for:
- Uploading the project to GitHub.
- Deploying the project on cloud so it is publicly accessible and searchable on Google.
- API Keys & Environment Configuration:
- Clearly mention wherever API keys, secret keys, database URLs, JWT secrets, cloud storage keys, chatbot API keys, email service credentials, or any third-party service - credentials are used.
- Use .env environment variables for all sensitive data.
Provide clear instructions on:
- Where to generate those keys (e.g., MongoDB Atlas, OpenAI, Cloudinary, etc.).
- How to replace them with my own keys.
- How to configure environment variables for local development and production deployment.
Ensure no hardcoded secrets are used in the code.