Smart Presentation using OpenCV and AI
Malik Mohd Salman, Sayyed Faisal Ali, Er. Farzana Khan · International Journal of Advanced Research in Science Communication and Technology · 2024
In the current landscape of digital transformation, the emphasis on interactive and user-friendly interfaces has surged. This project aims to bridge the gap between conventional presentation tools and contemporary gesture-based interaction by harnessing computer vision techniques. Through the integration of OpenCV, Python, and the Gemini Pro API, this endeavour introduces an innovative approach to controlling presentations via hand gestures. By leveraging the capabilities of OpenCV, Python, and the Gemini Pro API, this project revolutionizes the way presentations are controlled. Through the recognition of specific hand gestures, users can effortlessly navigate slides, highlight content, annotate slides, and undo actions, all with intuitive hand movements. This seamless integration of gesture recognition with PowerPoint commands enhances the user experience and fosters greater engagement during presentations. Furthermore, the incorporation of Python-pptx facilitates the dynamic generation of presentations based on real-time data obtained through the Gemini Pro API. This dynamic approach enables users to create presentations that are not only visually appealing but also dynamically updated with the latest information, enhancing their relevance and impact. To provide users with a seamless and intuitive experience, a user interface is developed using Tkinter. This user interface serves as a platform for users to interact with the presentation system effortlessly. Through its intuitive design and ease of use, the user interface enhances the overall presentation experience and empowers users to deliver compelling presentations with ease. In essence, this project not only delves into the technical intricacies of gesture recognition and presentation generation but also exemplifies the potential of integrating diverse technologies to create innovative solutions for everyday tasks. By combining computer vision, data integration, and user interface design, this project showcases the transformative power of technology in enhancing traditional workflows and driving innovation forward.