Real-Time Computer Vision

The objective of this project is to develop a real-time computer vision solution for accurately counting people in a moving environment. Using advanced image processing techniques and leveraging both C++ and Python, learners will design, implement, and optimize algorithms that can detect, track, and count individuals as they move through a scene. The project will culminate in a working prototype that demonstrates robust and real-time performance, even under varying lighting conditions and dynamic backgrounds, providing a practical solution for applications such as crowd monitoring and public space management.

AI-Driven Online Tech Support System for Web Platform

Let's Get Together is seeking to enhance its new web platform by integrating an AI-driven online tech support system. The goal is to provide users with up to four levels of support tailored to their individual needs. This project aims to address the diverse digital fluency, learning styles, support systems, and language barriers of users. By implementing this system, the company seeks to improve user experience and accessibility. The project involves designing an AI model capable of assessing user profiles and delivering personalized support. The system should be intuitive, efficient, and capable of evolving with user feedback. The project will enable learners to apply their knowledge of AI, user experience design, and web development.