Outreachy MboaLab May- August 2023 Cohort

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Mboalab

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🌱 🌱 Mboalab 🌱 🌱

Mboalab is an open and collaborative space located in the village of Mefou-Assi, Yaounde, Cameroon. The aim of Mboalab is to catalyse sustainable development and improve people's living conditions through open science. We bring together researchers, scholars, educationists, policy makers and the general public to discuss, conceive and implement projects responding to the health, economic and social needs of the community, such as the coronavirus pandemic. Our approach focuses on the integration of local knowledge by centering the local community especially women.

Background & Objective

The aim of Mboalab is to catalyse sustainable local development and improve people’s living conditions through open science.

To this end, the main missions of Mboalab are as follows:

  • Provide community and lifelong education for the population, as well as formal education for the younger generations.
  • Serve as a platform for exchanges on issues related to local context; mediate between local communities and academia.
  • Propose solutions that meet the needs of communities, using local knowledge and open digital technologies.
  • Raise public awareness of environmental issues.
  • Facilitate access to basic health care.

Know More About Us

Lab Tour

  • You can take a tour of our lab here.

Key Collaborations

Project - Mboathoscope

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Mboathoscope is an open-source digital stethoscope AI app that allows users to record, visualize and analyze the heart. It uses machine learning algorithms to provide insights into the audio data and aid in the diagnosis of cardiovascular and respiratory diseases. It is a Project created and maintained by the Mboalab Community originating and based in Cameroon. During training; recorded heartsounds where used but during testing bluetooth sound via a smartphone can be used. In the future, we would love to further advance the app by including Lung sound trained model and disease detection with lung sound.

Outreachy MboaLab May-August 2023 Interns - Nikhila K S and Sumaya Ahmed Salihs

Our Aim

  • Our initial aim is to create our machine learning model that trains and tests heart sounds.
  • After completion of the training part our next goal is to create a tflite format and plugin our model into our Mboathoscope app.
  • We will then restructure our app by following the MVC architecture.
  • Improve the UI/UX of our app by leveraging animations.
  • To find Lung sound data and train our first model to detect Lung anomalies as well.

Generated Resources

Mboalab-mboathoscope.mp4