How a Middle School Girl Solves a Real-Life Challenge Using TinyML - Gas Leak Detection

Discover how a middle school student tackles a real-world problem using TinyML in this inspiring 48-minute talk. Follow Sashrika Das, a 6th-grade student, as she explains her innovative gas leak detection project utilizing Wio Terminal, a multi-channel gas sensor, and Edge Impulse Studio. Learn about the motivations behind her project, the hardware and software components used, and the process of deploying TinyML for practical applications. Gain insights into the challenges faced and future plans for expanding the project. Additionally, explore another TinyML project by Mithun Das, featuring a thermal camera-based system for detecting animals and humans in low-light conditions. Delve into topics such as data collection, representation, and deployment strategies for TinyML projects. This talk serves as an excellent introduction for young students interested in exploring the world of machine learning and its real-world applications.

Introduction
Why do we use an oil tank
Why did I choose Machine Learning
Hardware used
Software used
Deploy TinyML
ION Tuner
Challenges
Future Plans
Mithun Das
Data Collection
Data Representation
Deployment
Questions
Strategy Partners