The Kami-Tech team submission for the 2020 Calgary Hacks
Our Inspiration: One major issue we face in our Calgary climate is safety hazards due to the unpredictable weather. We've all experienced slipping on the death traps leading to the C-Train station here at the university, or we know someone who has. It can be dangerous, and we wanted to create a solution for this problem. We aim to improve safety and the campus experience at the university by providing our fellow campus dwellers with a way to mitigate this problem. Additionally, we provide maintenance staff with real-time hazard information.
What we did:
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Created and sanitized a high-quality dataset comprised of over 500 images using the Bing Search API and Pandas.
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Constructed a reliable data pipeline to feed images to our ML model.
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Designed and engineered a convolutional neural network using TensorFlow and Keras.
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Validated the model on a second dataset.
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Packaged the model into a micro-service and linked it to a no-SQL database (MongoDB).
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Designed a cross-platform front-end mobile application to develop a high-quality user experience.
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Linked it all up!