This project was developed during the Madar IT Hackathon, organized by Maseer Tunisie in collaboration with SPARK (ISG Tunis), and held on February 9–10, 2019 at Université Centrale. The challenge consisted of designing, within 24 hours, a complete application addressing a real problem faced by a minority group.

We focused on patients affected by Alzheimer’s disease, proposing an augmented reality (AR)-based solution to assist with memory, orientation, and daily task guidance. The system aimed to provide real-time contextual assistance through visual cues and intelligent prompts, improving autonomy and quality of life.

The solution combined embedded systems, AI, and AR concepts into a functional prototype. This included designing an embedded hardware component, developing an AI module for context recognition, and creating user-facing interfaces (mobile application and AR interaction concept). The system architecture ensured seamless interaction between sensing, processing, and user guidance.

I contributed to the technical development, including system design, prototyping of embedded components, and integration with AI functionalities, working alongside a team of extraordinary colleagues to deliver a coherent and functional solution under intense time constraints.

Within the 24-hour timeframe, we also structured a complete Business Model Canvas (BMC), defining the value proposition, target users, and deployment strategy.

The project concluded with a 4-minute pitch presented to a jury, covering the problem, technical implementation, prototype demonstration, and business model.

Outcome: First Prize — Madar IT Hackathon 2019

Keywords: Augmented Reality, Alzheimer’s Assistance, Embedded Systems, AI, Rapid Prototyping, IoT, Mobile Application, System Design, BMC