Across two focused sessions, the course covered key aspects of modern web development and machine learning integration. The first session introduced the development of dynamic web applications using Python and Flask, emphasizing structured user management, authentication systems, clean interface design, and automated email notifications to enhance functionality.
The second session built on this foundation by integrating machine learning models for real-time image recognition within the web application. Participants worked on deploying pre-trained AI models, handling image uploads, and managing prediction outputs, with a brief overview of how high-performance computing (HPC) resources can support model training and updates.
Together, these sessions demonstrated a complete workflow — from backend development to AI model integration — highlighting how advanced technologies can be combined to create intelligent, scalable web solutions.