AI-powered ranking-based placement assistance system

In today’s competitive job market, students require structured guidance and continuous evaluation to enhance their placement readiness. Traditional placement systems lack personalization, real-time feedback, and performance tracking, leading to inefficiencies in career preparation. This project proposes an AI-Powered Ranking-Based Placement Assistance System, which integrates Artificial Intelligence and Machine Learning to provide a comprehensive career guidance ecosystem.

The system consists of three major modules: AI Roadmap Generation, AI Mock Interview, and Performance Dashboard. The AI Roadmap module generates structured learning paths based on user queries using multiple AI models such as OpenAI and Hugging Face. The AI Mock Interview module simulates real interview scenarios, records user responses, and evaluates them using Natural Language Processing (NLP), speech-to-text conversion, and audio-video analysis. The Performance Dashboard tracks user progress, identifies weak areas, and provides personalized recommendations.

The system demonstrates improved learning efficiency, better interview performance, and enhanced placement readiness, making it suitable for real-world academic and professional environments.