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weiird_10

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Patulong naman po capstone project focused on barangay youth/birthing clinic/school that uses machine learning and data analytics like predicting or forecasting.
 
Sure, I can help you come up with ideas for a capstone project focused on a barangay youth/birthing clinic/school that utilizes machine learning and data analytics for prediction or forecasting. Here are a few potential project ideas:

1. Predicting student performance: Develop a machine learning model that predicts student performance based on various factors such as attendance, socio-economic status, and previous academic records. This can help identify students who may be at risk of dropping out or need additional support.

2. Forecasting healthcare demand: Use historical data from a barangay birthing clinic to build a predictive model that forecasts the demand for healthcare services. This can help in resource planning and allocation to ensure adequate staffing, supplies, and equipment.

3. Recommending educational interventions: Utilize data analytics techniques to analyze student data and identify patterns that can help in recommending personalized educational interventions. The model can suggest specific interventions or learning materials based on a student's learning style, strengths, and weaknesses.

4. Predicting disease outbreaks: Apply machine learning algorithms to historical health data to predict disease outbreaks in a barangay. This can aid in early detection and prompt public health interventions.

5. Analyzing youth engagement: Use data analytics to analyze youth engagement in a barangay, such as participation in community activities, volunteer work, or involvement in local governance. This can help identify trends and patterns that can guide strategies for fostering active youth participation.

Remember to consider the availability of data and resources when choosing a project idea. Additionally, consult with your advisor or mentor to ensure that your project aligns with the requirements and objectives of your capstone program.
 
Hello, if it's supervised machine learning. You can try to predict whether students can Pass or Fail their program (Bachelor's Degree) based on their historical data. Make sure to use real datasets para mas accurate ang results niyo. Lastly, test your predictive model using new data (training, testing).
 
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