AI-DRIVEN AUTOMATED SLIDE GENERATION AND TRANSCRIPT-BASED FEEDBACK FOR ENHANCING TEACHING EFFICIENCY AND QUALITY

This project aims to automate the creation of lesson slides using AI, reducing the time and effort tutors spend preparing presentations. By leveraging OpenAI's GPT-4-turbo model, the system generates slide content based on a given topic, desired length, and bullet points. Additionally, it analyzes lesson transcripts to assess student engagement and slide effectiveness, offering feedback and actionable tips for tutors to improve their teaching. The system generates slides by parsing the AI's text output and formatting it into a .pptx file using python-pptx. Challenges such as vague content and simplistic design are addressed by refining input prompts and using tools like Desigen (Weng et al., 2024) to improve the slides' appearance. The system has proven effective in enhancing instructional quality and student engagement by automating slide creation and providing real-time feedback, allowing tutors to save time and focus more on refining their teaching methods.