Old Astoria Neighborhood Association Inc. is a dedicated organization focused on improving the Astoria neighborhood through community engagement and sustainable urban planning. They excel in community outreach and advocacy, but face challenges in effectively utilizing data-driven approaches to inform their planning initiatives. The gap lies in integrating advanced technologies like AI and machine learning to enhance decision-making and optimize urban development strategies.

The current challenge for OANA is the lack of access to advanced data analytics and AI tools that can provide deeper insights into urban dynamics. This limits their ability to address issues such as traffic management, environmental sustainability, and community participation efficiently. Without these tools, OANA's planning initiatives may not fully leverage data-driven insights, resulting in suboptimal outcomes for the community.

This project offers students an opportunity to address these challenges by developing AI and machine learning models tailored to OANA's needs. Students will work in phases, starting with data collection and analysis, followed by model development and testing, and finally, presenting actionable insights to OANA. This project is ideal for students because it combines technical skill development with real-world application, allowing them to make a tangible impact in urban planning. Through this experience, students will gain expertise in AI, data analysis, and urban planning, preparing them for future careers in the field.