Ai-based Career Path  Recommendation System

E.Sundara Vignesh; V.Sanjay; Mrs.A.Akileshwari

Volume 11, Issue 10 (October 2025)

Ai-based Career Path Recommendation System

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7.883

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Volume 12 Issue 08

August 2026

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Author(s)

E.Sundara Vignesh V.Sanjay Mrs.A.Akileshwari

Abstract

In The Modern World, Students And Professionals Often Face Difficulty Identifying Suitable Career Paths Aligned With Their Academic Performance, Technical Skills, And Personal Interests. This Paper Presents An AI-Based Career Path Recommendation System That Leverages Machine Learning And Deep Learning Models To Suggest Ideal Career Paths And Recommend Relevant Job Opportunities From Live Sources Such As Indeed And Naukri. The System Uses Random Forest And Neural Network Algorithms To Predict Suitable Career Categories From Academic And Skill Data, Achieving Meaningful Results In Multi-class Classification. It Integrates A Flask Backend, Streamlit Frontend, And SQLite Database, Forming A Robust, Data-driven Platform For Intelligent Career Guidance And Employment Matching.

Keywords

Career Recommendation Machine Learning Neural Networks Job Scraping Flask Streamlit AI Guidance System.

Paper ID

IJSARTV11I10104177

Publication Date

October 24, 2025

Research Area

Computer Science And Engineering

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