Binary Beasts

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PYBL

Design-Based Research Capstone

Binary Beasts: PYBL

Binary Beasts capstone track for pybl.com, focused on clearer youth basketball operations and faster family access to key tasks.

PYBL platform preview
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In Development
Project Leads Aneesh, Ethan, Samarth

PYBL Platform

Youth Sports Operations, Simplified

Idea 1: Improve rules readability using a good UI that makes it better.
Idea 2: Have season schedule with backend database that stores wins and losses for each team.
Idea 3: Build clear role paths for parents, coaches, and administrators.
Problem solved: Too much navigation friction during common seasonal tasks.
Problem solved: Easier to see best teams.
Problem solved: Have everyone know what to do.
Jekyll templates for consistent page structures YAML + Markdown content model for repeatable updates SCSS components for visual hierarchy and readability Responsive layouts for parent mobile usage Navigation refactor patterns to reduce click depth Accessibility checks to improve clarity and scan speed

About

PYBL provides community basketball information and logistics that must remain simple and fast for families. This capstone focuses on reducing navigation ambiguity, improving page hierarchy, and making registration and schedule workflows easier to complete from phones and school devices.

Impact

Individual issue (Aneesh): tighten registration flow copy and button hierarchy this week.
Individual issue (Ethan): audit schedule page pathways and eliminate redundant routes this week.
Individual issue (Samarth): validate mobile readability for forms/announcements this week.
Shared issue: align update ownership so season changes publish consistently.
Shared issue: verify final IA decisions with quick user walkthrough checks.
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Poway NEC

Design-Based Research Capstone

Binary Beasts: Poway NEC

Binary Beasts capstone track for powaynec.com, focused on turning a static preparedness site into a more useful neighborhood resilience platform.

Poway NEC website preview
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In Development
Project Leads Aneesh Deevi, Ethan Patel, Samarth Vaka

Poway Neighborhood Emergency Corps

From Preparedness Brochure to Community Resilience Platform

Idea 1: ML Implementation Prediction & Classification. Use machine learning to predict the likelihood and severity of natural disasters like wildfires by analyzing neighborhood location, proximity to brush, wind speed, and weather patterns to deliver personalized risk scores.
Idea 2: Forecasting. Use historical wildfire data, weather conditions, and seasonal trends to predict when and where disasters are most likely to occur, helping PNEC and first responders act earlier.
Idea 3: Natural Language Processing (NLP). Build a chatbot trained on PNEC's existing resources and FAQs so residents can get instant, community-specific answers 24/7 during emergencies and preparedness planning.
Idea 4: Anomaly Detection. Monitor real-time signals like air quality indexes and temperature spikes to automatically alert PNEC coordinators to emerging threats before a disaster is officially reported.
Idea 5: Volunteer & Resource Optimization. Train a model on neighborhood size, disaster history, and volunteer availability to optimize how volunteers and supplies are distributed across Poway.
Problem solved 1: Residents currently lack personalized, data-driven risk assessments that can help them understand their specific wildfire exposure and take preventive action.
Problem solved 2: PNEC and responders have limited ability to anticipate where and when wildfire risk will spike, reducing the time available for early warnings and resource deployment.
Problem solved 3: Residents may struggle to find urgent, community-specific preparedness information quickly, while coordinators cannot manually answer every question at all hours.
Problem solved 4: Emerging environmental warning signs can be missed when staff rely on manual monitoring, delaying awareness of developing hazards.
Problem solved 5: Manual volunteer and supply allocation makes it harder to place limited people and resources where they will have the greatest impact.
Interactive mapping for neighborhood and coordinator lookup Machine learning for danger prediction and personalized alerts AI chatbot for instant resident inquiries and support

About

Poway Neighborhood Emergency Corps is an all-volunteer 501(c)(3) nonprofit focused on disaster preparedness education in Poway. Established in 2011 and granted nonprofit status in 2018, it works closely with the Poway Fire Department to support residents through neighborhood coordination, outreach, and a neighbor-helping-neighbor preparedness model.

Impact

Impact: Residents can click their area and immediately identify the right Neighborhood Emergency Coordinator, reducing delays and confusion.
Impact: A live weather and risk display can help residents make faster, more informed preparedness decisions during high-risk conditions.
Shared outcome: the website becomes a practical preparedness utility, not just a one-time informational brochure.
Shared outcome: stronger neighborhood-level visibility supports faster coordination before and during local emergencies.
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