{"id":108400,"date":"2025-03-02T18:42:07","date_gmt":"2025-03-02T18:42:07","guid":{"rendered":"https:\/\/www.seeedstudio.com\/blog\/?p=108400"},"modified":"2025-03-02T18:43:24","modified_gmt":"2025-03-02T18:43:24","slug":"ignite-tinyml-hands-on-workshop","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2025\/03\/02\/ignite-tinyml-hands-on-workshop\/","title":{"rendered":"IGNITE: TinyML Hands-on Workshop"},"content":{"rendered":"\n
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On January 29, 2025, the IGNITE: TinyML Hands-on Workshop<\/strong> was successfully conducted at Vimalagiri Public School, Ernakulam<\/strong>,India<\/strong>. Organized by Abhinav Krishna, Seeed Ranger<\/strong>, in collaboration with the MACE IoT Club<\/strong>, this workshop introduced higher secondary students to the fascinating world of TinyML (Tiny Machine Learning)<\/strong> and IoT. The event provided a completely offline, hands-on experience<\/strong>, enabling participants to build and deploy TinyML models using Seeed Studio hardware<\/strong>.<\/p>\n\n\n\n

Workshop Highlights<\/strong><\/h2>\n\n\n\n

The session, was designed to equip students with the fundamentals of TinyML and practical deployment strategies. Participants engaged in an immersive learning experience that covered:<\/p>\n\n\n\n

–Fundamentals of TinyML and real-world applications<\/strong>
–Live demonstrations<\/strong> of TinyML projects using Seeed Studio hardware<\/strong>
–Hands-on implementation<\/strong> with the XIAO ESP32S3 Sense<\/strong> and Grove Vision AI V2 Module<\/strong>
–Exploring the SenseCraft platform<\/strong> for TinyML model deployment
–Building and deploying custom TinyML models<\/strong> on the XIAO ESP32S3 Sense<\/p>\n\n\n\n

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Hands-on Experience and Interactive Learning<\/strong><\/h2>\n\n\n\n

The highlight of the event was the practical session<\/strong>, where students:
-Collected sample data<\/strong> and trained their own TinyML models<\/strong>
-Deployed models onto Seeed Studio hardware<\/strong>
-Experimented with additional components like the SenseCap Watcher<\/strong> and Wio Terminal<\/strong><\/p>\n\n\n\n

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A special live demonstration<\/strong> showcased previous TinyML projects, including EleTect: Mitigating Human-Elephant Conflict using TinyML<\/strong>, demonstrating how AI can be used for wildlife conservation.<\/p>\n\n\n\n

Catch the highlights from Ignite<\/h2>\n\n\n\n