We are soliciting Show and Tell talks for our annual SciTinyML Workshop April 17-21!

What is a TinyML4D Show and Tell Talk?

Show and Tell Talks can include classroom projects, research projects, in-progress projects, failed projects – basically any kind of TinyML project! We are particularly interested in work that discuss:

  • Scientific Applications of TinyML
  • Applications of TinyML for the Global South and for Global Sustainability
  • Aggregated “best practice” suggestions for getting up to speed on new TinyML projects
  • Surprising discoveries gleaned from deploying TinyML into the real world
  • Work from early career students and professionals

Recordings of Past Show and Tells

All Show and Tell Videos can be found at this playlist.

Date Topics Video Link
March 30, 2023 1. Automation of Coloring Process in Fashion Design Using Arduino Color Sensor by Fatmaliza Zaki Abdad, Syafiga Arinda of Sampoerna University, Indonesia
2. Anomaly detection for faulty motor using the arduino board Nano 33 BLE sense by Hilal Al-Libawy of University of Babylon, Iraq
3. First Time TinyML Experience by Edwin Marte of Universidad Tecnologica de Santiago, Dominican Republic
4. Voice Activated LED Voice control lighting by Muhammad Annas Zahid of Usman Institute of Technology University, Pakistan
February 23, 2023 1. Artificial Intelligence in Point-of-Care Medical Equipment by Hellen Cristina Ancelmo of Instituto Carlos Chagas & Universidade Tecnológica Federal do Paraná, Brazil
2. Weep Scope: Recognizing the Unique Cries of Infants by Gohel Amit Chandrakantbhai of Gujarat Technological University, India
3. Crops Disease Detection with TinyML by James Adeola of Université d’Abomey Calavi, Benin
4. Implementation of Deep Learning on a Chick Counter by Muhammad Suzaki Zahran of Universitas Raharja, Indonesia
5. Identification of Cashew Nut Diseases using TinyML by Dr. Bala Murugan MS of Vellore Institute of Technology, India
January 26, 2023 1. Personal Trainer by Ricardo Magno do Carmo Junior of Universidade Federal de Itajubá (UNIFEI), Brazil
2. Irrigation prediction for crops using machine learning at the edge by Carlos Rodríguez of Pontificia Universidad Javeriana, Colombia
3. EYE TO EYE: non-invasive anemia detector using machine learning by Kimberly Cristel Soto Concha of Universidad Peruana Cayetano Heredia
4. Estimating the shelf life of date palm fruit using TinyML by Abdulrahman Fayez of King Faisal University Saudi Arabia
December 1, 2022 1. Smart Switch Based on Embedded Machine Learning by Wong Khai Chiuan of Universiti Teknologi Malaysia
2. Study of Animal Movement: Monitoring Using TinyML Kits by Laila Daniela Kazimierski, Karina Laneri of Centro Atómico Bariloche Argentina
3. Human-Computer Interaction: Hand Gesture Recognition using Tiny Machine Learning by Koulal Yidhir Aghiles, Labchri Amayas, Bourzam Saad Allah, Baroud Yasmine, Bourbia Amine of USTHB University, Algeria
4. Automated American Sign Language (ASL) using TinyML by Md Sharif Ahmed, Prabha Sundaravadivel of University of Texas at Tyler
5. Smart Bee Keeping by Jackline Tum of Dedan Kimathi University of Technology
October 27, 2022 1. TinyML Based Self Diagnostic Kit for Respiratory Diseases by Samson Otieno Ooko of University of Rwanda
2. The Impact of TinyML on an Assistive Technology Project in Brazil by Mateus Delangélica, Renato Masteguim of Universidade Federal de Itajubá (UNIFEI)
3. Anomaly Detection in the Temperature of an AC Motor Using Embedded Machine Learning by Ezzeldin Ayman, Ibrahim Ismail of Universiti Teknologi Malaysia