CAREER RECOMMENDATION USING MACHINE LEARNING

Abstract

In the modern digital era, video content has emerged as one of the most impactful forms of communication, widely used in education, marketing, entertainment, and social media. However, the process of creating high-quality videos traditionally demands significant time, technical expertise, and expensive resources. This project, titled AI Video Studio (VideoGen), aims to simplify and revolutionize this process by utilizing the power of Generative Artificial Intelligence introduces Smart Career Advisor, a web-based machine learning application designed to provide personalized career recommendations based on user input. The system utilizes a trained machine learning model to suggest optimal career paths by analyzing user responses to a standardized questionnaire capturing interests, skills, and preferences. It is implemented using Python and the Flask web framework, ensuring efficient data handling and user interaction. The backend model is serialized using joblib for rapid inference and seamlessly integrates with the web interface to deliver real-time predictions. With the growing importance of informed career choices in today’s competitive environment, this system aims to support students, educators, and career counselors by offering an intelligent, data-driven guidance tool, Machine Learning, Flask, Web Application, Smart Advisor, User Personalization.