Placement Management System in Python free Code
Placement Management System in Python
The Placement Management System is a web-based solution designed to streamline the placement process in educational institutions. By replacing traditional manual systems, this platform offers an efficient, user-friendly, and reliable way to manage placement-related activities. The system ensures seamless data storage, faster operations, and proper access control to maintain data integrity.
Project Objectives
- Automation of Manual Processes: Minimize time and effort spent on manual record-keeping.
- Data Longevity: Securely store data for extended periods with easy retrieval options.
- User-Friendly Design: Provide a simple yet powerful interface to users of varying access levels.
- Access Control: Assign role-based access to ensure sensitive information remains protected.
Approach
This system serves as a comprehensive platform where students, administrators, and placement secretaries can interact. Here’s how it works:
- Role-Based Access:
- Admin Account: Oversees the entire placement system, manages users, and ensures smooth operations.
- Student Account: Allows students to create profiles, update resumes, and apply for jobs.
- Placement Secretary Account: Enables secretaries to update job postings, manage applications, and monitor placement statistics.
- Dashboards for Personalized Access:
- Every user has a unique dashboard tailored to their role, ensuring efficient navigation and task execution.
- Real-Time Information Updates:
- The system provides up-to-date information about job openings, student profiles, and application statuses.
- Centralized Data Management:
- All placement-related data is consolidated in one platform, reducing ambiguity and redundancy.
Features
- Student Profile Management:
Students can update their profiles, upload resumes, and link GitHub/LinkedIn accounts. - Job Posting & Management:
Companies can add job descriptions, pay rates, and requirements, while admins monitor job postings. - Application Tracking:
Students can apply for jobs, and placement secretaries can track application statuses in real-time. - Role-Based Functionality:
Tailored dashboards provide access to relevant tools and features based on user roles. - Dynamic Data Updates:
All user actions reflect immediately on the system, ensuring the latest information is always available.
ER Diagram
The Entity-Relationship (ER) Diagram represents the relationships between key entities such as students, companies, and jobs.
- Teacher: Manages and guides placement activities.
- Student: Creates and updates profiles to apply for jobs.
- Company: Posts job opportunities for students.
- Job: Represents a specific role, its requirements, and application limits.
- JobApplication: Tracks which students have applied for which jobs and their current statuses.
Schema Design
- Teacher Table
id
: Unique identifierName
,Email
,Phone
: Contact detailsPassword
: Secure login
- Student Table
id
,Name
,Email
,Phone
: Contact detailsRoll No
: Unique student identifierBio
,Skills
,Resume
,Profile Pic
: Profile detailsLinkedIn Link
,GitHub Link
: External links
- Company Table
id
,Company Name
,Description
,Address
: Basic detailsWebsite Link
: Company website
- Job Table
id
,Position
,Company
: Role detailsJob Description
,Requirements
: Specific job informationPay Rate
,Last Date to Apply
: Salary and deadline detailsMax Applicants
,Current Applicants Count
: Applicant limits
- JobApplication Table
id
,Job
,Applicant
: Job application detailsStatus
: Application progress
Tech Stack
- Frontend: HTML, CSS (Bootstrap) for responsive and modern design.
- Backend: Django framework for robust server-side development.
- Database: SQLite for lightweight, fast, and efficient data storage.
Why Choose This System?
- Efficient Data Management: Centralized storage eliminates the need for multiple spreadsheets.
- Scalable Solution: Can be extended to include recruiters and external stakeholders in the future.
- User-Friendly Interface: Simplifies tasks for all users, ensuring high adoption rates.
- Secure and Reliable: Robust authentication and role-based access protect sensitive information.
- Customizable for Future Needs: Easily adaptable to add more features as requirements evolve.
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How To Run
a) Install Python
Ensure Python is installed on your system.
- Download it from the official website.
- Check installation with
python --version
b) Set Up a Virtual Environment (Recommended)
- Create a virtual environment:
python -m venv venv
- Activate it:
- On Windows:
venv\Scripts\activate
- On macOS/Linux:
venv/bin/activate
2. Install Dependencies
- If your project has dependencies listed in a
requirements.txt
file: pip install -r requirements.txt
3. Understand the Project Structure
- Identify the main script to run. Typically, it might be named
main.py
,app.py
, or something similar.
Download the Project
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