Welcome to CrySense, an innovative project designed to empower parents by decoding the language of baby cries. The nuances in a baby's cry can signal various needs such as hunger, discomfort, or the need for a soothing burp. Understanding these cues, especially for new parents, can be both thrilling and perplexing.
The challenge lies in accurately interpreting the unique nuances of a baby's cry, a skill that often develops with time and experience. But what if there was a way to fast-track this process and provide parents with a helping hand right when they need it?
CrySense — an innovative solution designed to empower parents by decoding the language of baby cries. Utilizing cutting-edge machine learning algorithms and advanced signal processing, CrySense aims to provide a sophisticated yet user-friendly platform for understanding and responding to a baby's needs.
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Recording the Cries: Parents can record audio snippets of their baby's cries using the CrySense mobile application. This serves as valuable input for the model.
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Predictive Magic: CrySense employs state-of-the-art machine learning models to analyze the audio snippets. The result? Accurate predictions regarding the underlying needs of the baby.
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User-Friendly Interface: The predictions are presented through a user-friendly interface, making it easy for parents to comprehend and respond appropriately.
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Make a Difference: Your contributions to CrySense will directly impact the lives of parents, making their journey through parenthood a bit easier and more enjoyable.
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Cutting-Edge Technology: Work with state-of-the-art machine learning and signal processing techniques, gaining valuable experience in the intersection of technology and parenting.
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Build a Supportive Community: Join a community of developers, parents, and enthusiasts passionate about leveraging technology for the well-being of families.
The initial dataset being considered for the project has been taken from https://www.kaggle.com/datasets/aniruth100/baby-cry-detection.
In case we find some other suitable dataset, we can switch to that.
one: https://data.mendeley.com/datasets/hbppd883sd/1
two: https://m.datatang.ai/dataset/998
"less" helpful links
three: https://paperswithcode.com/dataset/dcase-2017 (has baby cries mixed with glass breaking and gunshots)
four: https://zenodo.org/records/401395 (similar to 'three')
five: https://zenodo.org/records/5003214 (a study based on baby cries, the link isn't directly pointing to the dataset)
dataset searching websites
https://datasetsearch.research.google.com/
https://appen.co.jp/off-the-shelf-datasets/ (paid)
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Fork the Respository
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Clone the Repository:
git clone https://github.com/your-username/CrySense.git
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Open on your local machine:
cd CrySense -
Start exploring the dataset:
cd dataset1 -
Make your contributions under the guidance of the mentor
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Push your contributions:
git push
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Raise a PR
Voila!!🤓 Wait for the mentor feedback!!🕛 Keep contributing!!
Shoutout to Contrib rocks for the above contributor's badge!