Sustainability Score Evaluator

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  Score Calculation Chart

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  Disposible Object Detection using Computer Vision

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  Disposible Object Detection using Computer Vision

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  Face Recognition using Computer Vision

Inspiration

Our inspiration for the Sustainability Score Evaluator project stemmed from the desire to quantitatively assess individual contributions to sustainability. Witnessing the need for an impactful tool, we aimed to develop a system that combines intensive scoring methodology with advanced computer vision to evaluate users' waste disposal habits.

What it does

The Sustainability Score Evaluator utilizes distinct modules, including a scoring module and two computer vision modules. The scoring module employs an intensive methodology to assess and score individuals based on their sustainability practices(resource usage and waste management). The computer vision modules uniquely identify users and detect items thrown in the dustbin(whether they have disposed it in the correct bin/how much sustainable products are they using) , enabling a comprehensive evaluation of their actions promoting sustainability.

How we built it

We built the project by developing separate modules for scoring and computer vision. The scoring module incorporates a robust methodology, while the computer vision modules leverage advanced algorithms for user identification and waste detection. Integration of these modules created a cohesive system capable of providing accurate and insightful sustainability scores.

Challenges we ran into

The challenges encompassed creating effective scoring models and implementing precise computer vision algorithms. Achieving a harmonious integration of these modules required addressing technical intricacies and ensuring the seamless functioning of the entire system. Striking a balance between accuracy and efficiency posed notable challenges.

Accomplishments that we're proud of

We take pride in successfully developing distinct modules that collectively contribute to the accuracy and depth of the Sustainability Score Evaluator. The accomplishment lies in creating a tool that offers a nuanced evaluation of individual sustainability practices through intensive scoring and advanced computer vision.

What we learned

The project taught us valuable lessons in developing modular systems, integrating scoring methodologies, and implementing advanced computer vision for real-world applications. Understanding the intricacies of waste detection and user identification further expanded our knowledge in sustainability assessment technologies.

What's next for Sustainability Score Evaluator

Looking ahead, our focus is on refining the scoring and computer vision modules for enhanced accuracy and efficiency. We aim to conduct extensive testing to validate the system's reliability in diverse settings. The next steps involve incorporating user feedback, optimizing algorithms, and exploring potential collaborations to expand the reach and impact of the Sustainability Score Evaluator.

Built With

• computer-vision
• object-detection
• python