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AI Career Platform: An AI-Powered Career Guidance And Interview Preparation System With Ann-Based Evaluation

Abinaya S

Abstract


The rapid expansion of the global employment landscape demands intelligent, personalised career guidance and interview preparation tools that adapt to individual user profiles and real-world industry requirements. This paper presents an AI Career Platform — a Flask-based intelligent web application designed to assist students and job seekers in enhancing their interview performance and career readiness. The system integrates multiple modules including AI-driven interview simulation, ATS resume scoring, to-do task management, performance tracking, and an AI chat assistant. A lightweight Artificial Neural Network (ANN) is incorporated to evaluate user responses and predict performance scores based on extracted behavioural and linguistic features. The platform generates personalised interview questions from user resumes using a local AI model, provides targeted feedback, identifies weak areas, and tracks user progress over time. The proposed system bridges the gap between theoretical knowledge and real-world interview readiness, offering a reproducible and extensible baseline for ANN-based career intelligence research.


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References


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