The Department of Computer Science and Engineering (CSE) at Green University of Bangladesh is pleased to announce the successful completion of the AI/ML/IoT Bootcamp 2025, held from [Insert Start Date] to [Insert End Date]. The program was organized by the IEEE Computer Society Student Branch Chapter (IEEE CS SBC), GUB, in collaboration with Bondstein Technologies Limited, and was powered by the Ministry of Posts, Telecommunications, and ICT, Government of Bangladesh.

This intensive five-day bootcamp provided a comprehensive, hands-on learning experience, seamlessly blending theoretical foundations with practical implementation in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision, and the Internet of Things (IoT).

A Structured Journey from Fundamentals to Integration

The bootcamp was meticulously structured to guide participants through the complete pipeline of an AIoT (AI + IoT) project:

• Day 1: Inauguration & AI/ML Fundamentals: The event commenced with an inaugural session, followed by foundational lectures on AI, ML, Deep Learning, and Computer Vision, including a live object detection demonstration.

• Day 2: Edge Device Setup: Participants gained hands-on experience configuring Raspberry Pi and Jetson Nano devices, connecting camera modules, and implementing Python scripts with OpenCV for real-time video streaming.

• Day 3: Real-Time AI with YOLOv8: Students deployed pre-trained YOLOv8 models on edge devices, achieving real-time person and object detection, a core skill in modern computer vision.

• Day 4: AI Model Development Pipeline: This session demystified the process of creating custom AI models. Attendees learned dataset annotation using tools like Roboflow and CVAT and conducted model training using Google Colab.

• Day 5: IoT Integration & Final Demonstrations: The bootcamp culminated with participants integrating their AI models with IoT hardware. By modifying scripts, they successfully triggered alerts and controlled devices like LEDs based on AI detections, showcasing end-to-end system integration.

Active Participation and Future Opportunities

The bootcamp witnessed enthusiastic and consistent participation from dedicated students across multiple departments, including CSE, EEE, and English. The participants' engagement and curiosity were highly commendable throughout the sessions.

In a significant development, Bondstein Technologies Limited expressed keen interest in reviewing student projects emerging from this bootcamp for potential collaboration and evaluation. They also indicated opportunities for internship positions for eligible and outstanding participants.

Certificates of participation were awarded to all active attendees in recognition of their commitment and newly acquired expertise.

Gratitude and Forward Outlook

We extend our deepest appreciation to the University Authorities for their unwavering support and to our esteemed collaborators—Bondstein Technologies Limited and the Ministry of Posts, Telecommunications, and ICT—whose contributions were instrumental to the event's success. Special thanks are also due to the organizers from the IEEE CS SBC GUB for their meticulous planning and execution.

This bootcamp has significantly strengthened the practical understanding and technical skill sets of our students, aligning with our mission to foster industry-ready talent. The Department of CSE remains committed to organizing more such impactful initiatives that bridge academia with emerging technological landscapes.

We congratulate all participants and look forward to their future innovations in the fields of AI and IoT.