GARSEG- GARBAGE SEGREGATOR

The Project

Inspired by the pervasive waste management challenges confronting my hometown of Kochi, I embarked on a mission to address this pressing issue through innovative means. Witnessing the alarming proliferation of garbage-laden streets and the associated environmental and health hazards spurred me into action. Recognizing the transformative potential of AI technology, I sought to leverage its capabilities to revolutionize waste management practices. Utilizing the Teachable Machine model, I endeavored to develop an AI-enabled garbage segregator capable of autonomously identifying and sorting different types of waste. This endeavor was not merely about finding a solution to a local problem but about harnessing the power of technology to effect positive change on a broader scale. Through tireless experimentation and iteration, I aimed to create a system that could contribute to a cleaner, healthier environment while paving the way for more sustainable waste management practices. My commitment to this cause remains unwavering, driven by a profound sense of responsibility to my community and a fervent belief in the potential of technology to drive meaningful societal impact.

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Team Comments

I chose this project to tackle pressing waste management issues in my city using AI and robotics, inspired by the desire to create a cleaner, healthier environment for all.

Throughout the project development process, one of the main challenges I encountered was error correction, particularly during the deployment phase to Streamlit. Solution involved meticulous debugging, testing, code refinement, and seeking guidance from online resources and peers.

Given more time, there are several enhancements I would consider implementing. Firstly, I would prioritize integrating the AI model with a real robotic arm, as initially envisioned.This would enhance the practicality and functionality of the solution, enabling real world application in waste sorting