CAREER CATALYST - AI-BASED ONLINE JOB PORTAL

Project Code :TCMAPY1423

Objective

Develop a secure cloud-based healthcare platform with DLP and DRM, enabling safe doctor-patient interactions, report uploads, missing file detection, and data breach prevention.

Abstract

Career Catalyst" is an innovative online job portal designed to simplify the recruitment process for both job seekers and employers. This platform allows job seekers to create profiles, upload resumes, and apply for jobs across various fields using advanced search capabilities. Employers can post job openings, review applications, and download resumes with ease. One of the key features of Career Catalyst is its AI-powered matching system, which ensures job seekers meet at least 50% of the skills required for a job before they can apply. This minimizes irrelevant applications and helps employers find qualified candidates faster. The admin oversees the portal's operations, managing the companies and job listings. The platform is accessible globally, breaking down geographical barriers and providing a seamless experience for both candidates and employers. By utilizing cutting-edge technologies, Career Catalyst revolutionizes job searching and recruitment, making it efficient and user-friendly for all involved.

KEYWORDS: Job search, apply job, prediction, recommendations

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

H/W CONFIGURATION:

Processor                                 - I3/Intel Processor

Hard Disk                                - 160GB

Key Board                              - Standard Windows Keyboard

Mouse                                     - Two or Three Button Mouse

Monitor                                   - SVGA

RAM                                       - 8GB

S/W CONFIGURATION:

β€’      Operating System                   :  Windows 7/8/10

β€’      Server side Script                    :  HTML, CSS, Bootstrap & JS

β€’      Programming Language         :  Python

β€’      Libraries                                  :  Flask or Django, Pandas, Mysql.connector, Os, Smtplib, Numpy

β€’      IDE/Workbench                      :  PyCharm

β€’      Technology                             :  Python 3.6+

β€’      Server Deployment                 :  Xampp Server

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