Placement Prediction System Using Machine Learning and Ensemble Learning Techniques

This project offers an end-to-end placement prediction and preparation system based on machine learning and AI. Employing ensemble models for onedatasets, the system makes accurate student placement predictions of up to 98.75%. It offers major features such as a customized recommendation module, an AI chatbot, real-time code analysis, and self-assessment of speaking skills. Through studying academic, technical, and communication profiles, the platform delivers customized learning pathways and real-time feedback, enabling students to improve employability. Through data-driven insights, the system strengthens institutions and assists students with end-to-end career readiness solutions. The platform also offers interactive learning materials, and its real-time analytics enable students to monitor progress while enhancing crucial skills such as communication and coding. Through ongoing feedback, the system promotes proactive career development, keeping both students and institutions in step with industry requirements.