Current TinyML projects: I am mainly working on the educational aspects of TinyML but I have been working with students and collaborators on using TinyML to detect mosquitoes and to find indoor positions with no GPS.

What I want to learn: I am curious to find out what application YOU will come up with during the workshop. In every workshop I learn something new from participants!

Info about myself/my research: https://www.ictp.it/member/marco-zennaro#biography

I am thankful for being invited to participate in this ICTP-UNU Workshop on TinyML for Sustainable Development. I am an electronics engineer designing societal applications of embedded systems, PSoC, WSN, IoT-LoRa, and TinyML. Looking forward to collaborate and learn new TinyML methods.

Accessing medical care poses significant challenges for the hearing and speech-impaired community, particularly in resource-limited environments. To address this issue, I am actively engaged in a project aimed at developing a sign language interpretation system. This system aims to facilitate effective communication between medical professionals and individuals with hearing or speech impairments, thereby improving healthcare delivery. The primary objective is to create TinyML algorithms-based sensor systems for the real-time interpretation of medically relevant signs, ensuring a seamless healthcare experience.

In order to make the sensor system portable, low-powered, and energy-efficient, the implementation of TinyML algorithms is crucial. Consequently, I am seeking hands-on training in TinyML and its practical applications.

My team works on the intersection of AI and SDGs, you can see more here: about AI for Good

more about me on the link

Looking forward to learn more about your tinyML use cases, and their potential to accelerate the UN SDGs.

https://www.linkedin.com/in/rendoncepeda/

I lead a multi-diverse team of software engineers, data scientists, and business/policy analysts working on cloud services, data analytics, Artificial Intelligence (AI), and Machine Learning (ML). We assess new technologies, build robust platforms, develop custom solutions, innovate through rapid prototyping, provision resources to teams, promote best practices, and strengthen the knowledge and use of cloud services, data analytics, AI, and ML at IFAD.

You can learn more about IFAD's work with AI here: https://customers.microsoft.com/en-us/story/1729190323007055712-ifad-nonprofit-azure-openai-service

I aim to create a portable and cost-effective solution that can aid in the early detection and prevention of mosquito-borne diseases. I plan to refine my machine learning algorithms to achieve higher accuracy and efficiency, ensuring that my solution meets the rigorous standards required for practical deployment.

Hopefully, through this workshop, I am able dive deeper into the world of TinyML and also to gain inspiration on how to improve and optimize my project.

I'm immensely grateful for the opportunity to learn from this workshop as well as working on this project, and I look forward to sharing my findings and insights with you all.