Final Year Project

Project Title

TeachWise: Automated Teaching Evaluation and Classroom Management

Description

This project develops an AI-powered system to automate classroom evaluation and academic management. The system analyzes lecture recordings by extracting prosodic audio features such as pitch variation, loudness, and speech rate, and uses machine learning models to assess teaching quality indicators including energy, patience, student attention, and lesson pace. In parallel, a retrieval-augmented generation (RAG) approach compares lecture transcripts with lesson plans to evaluate curriculum adherence. The platform also integrates scheduling automation and a content management system (CMS) for managing classes, recordings, and evaluation reports. By combining acoustic analysis and semantic evaluation, the system generates objective teaching assessments and structured feedback, enabling scalable and consistent evaluation of instructional quality.