Conduct a survey in your community on a local issue, like recycling habits. Use computational tools to analyze the data and present your findings in a meaningful way, such as through data visualizations or statistical models.

Create a computer simulation to model traffic flow in your city or near your school. Analyze the simulation results to propose strategies for reducing congestion and improving traffic efficiency.

Use data analysis and machine learning techniques to create a model that predicts where crime might occur in urban areas. This project could involve analyzing historical crime data and other relevant factors.

Develop a computational model to optimize school safety measures, such as the best placement of lighting or security personnel. Use simulations to test different safety scenarios.

Collect and analyze data related to educational success, such as student grades, attendance, and socio-economic factors. Use data analysis tools to identify patterns and propose data-driven strategies for improving educational outcomes.

Research how social media usage affects mental health among your peers. Conduct a survey to gather data on time spent on social media and its perceived impact on well-being. Use this data to create visualizations and suggest healthy social media habits.