AI Skill Recommendation

Project Code :TCMAPY1074

Objective

The primary objective of the AI Skill Recommendation project is to empower users with a personalized and strategic approach to skill development, thereby enhancing their employability and career prospects. By leveraging AI technology, the project aims to facilitate a seamless and user-friendly experience for individuals seeking to align their skill sets with specific job requirements. It seeks to provide tailored recommendations for skill acquisition, fostering a proactive approach to professional development. The project further aims to contribute to the overall efficiency of the job market by enabling a more informed and skill-oriented approach to job applications and career advancement.

Abstract

"AI Skill Recommendation" is a web-based platform designed to assist users in optimizing their job prospects. Upon logging in or registering, users upload their resumes and select a target job position from a list of available options. Leveraging AI, the system assesses the user's current skill set and compares it with the requisite skills for the chosen job, subsequently offering tailored recommendations for acquiring the necessary skills. This personalized approach streamlines the job search process, empowering users to proactively enhance their qualifications and increase their competitiveness in the job market.

Keywords: ML evaluation, ML techniques, nlp, ai etc..

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 - I5/Intel Processor

Hard Disk - 160GB

Key Board - Standard Windows Keyboard

Mouse - Two or Three Button Mouse

Monitor - SVGA

RAM - 8GB


S/W CONFIGURATION:

Operating System :  Windows 7/8/10

Server side Script :  HTML, CSS, Bootstrap & JS

Programming Language :  Python

Libraries :  Flask, Pandas, Mysql.connector, Numpy

IDE/Workbench :  Vs code

Technology :  Python 3.6+

Server Deployment :  Xampp Server


Demo Video

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