Pacific McGeorge School of Law
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Dust Might (Video Game)
No full textOur project aims to create a video game that combines elements of a top-down platformer, a roguelike, and bullet hell-style combat, for a dynamic gameplay experience every time the player starts a new run. The game is designed to challenge players, requiring skillful evasion and strategic decision-making to avoid pitfalls, spikes, and enemies. The core mechanics revolve around unlocking movement options as the player progresses, adding an element of growth to the gameplay. Initially, players will have limited mobility, which encourages them to avoid direct combat and instead focus on strategic evasion and crowd control. As the game advances, players will unlock movement abilities such as rolling, diving, and potentially even something as rudimentary as jumping, which will open up new strategies for movement.
One of our game’s is its emphasis on items for combat as opposed to attacks. Since players start with minimal offensive capabilities, they must rely on items found throughout the game world to engage with enemies. These items include bombs, thrown weapons, shields, and other tools that can be used creatively to overcome challenges. The player is provided with an inventory, so they can choose to save their items for a rainy day as opposed to using them right away. This design choice makes sure that every playthrough feels fresh, as the strategies will depend on the items discovered during the run. The randomized item placement also adds to the game’s replayability.
The game’s structure follows a procedurally generated dungeon format, in which each floor is composed of a series of interconnected rooms. These rooms are selected from a pre-designed pool of layouts, ensuring variety while maintaining a level of balance in difficulty and challenge. As players explore, they will encounter different combinations of items and hazards, requiring them to stay on their toes and adapt their tactics. The procedural generation ensures that no two runs are exactly the same, increasing the game’s replay value. Players advance to the next floor by locating the diving bell, which is always found in a dead-end room, and must be paid into with in-game currency to progress. This mechanic creates a sense of discovery as players delve deeper into the game world, and doesn’t allow the player to just save up money on one floor and skip the rest without exploring.
The game’s narrative follows a unique protagonist—a doll brought to life by a mysterious witch. This character isr a creation designed to explore the deep, cavernous world that the witch inhabits. A key aspect of the game’s lore is the doll’s ability to transfer its consciousness into a new body upon death, creating an in-game justification for respawning. The deeper the player ventures, the more they uncover about this enigmatic world.
Overall, our game blends strategic gameplay with an atmospheric setting and unique approach to progression. By incorporating procedural generation, strategic item use, and the seeds of a storyline, we aim to create a game that offers challenge and depth, exciting our players with each and every playthrough
WatchBuddy
No full textHave you ever wanted to watch a movie with a friend but couldn’t because they weren’t there with you? Or wished for a space to discuss your favorite TV shows with like-minded viewers? WatchBuddy combines the best of streaming and social media, creating an interactive platform where entertainment meets connection. With real-time chat rooms, users can see what their friends are watching and join them instantly for a shared viewing experience. Personalized profile pages allow users to leave reviews and ratings, while timestamped comments on shows and movies make discussions more immersive—letting friends engage with each other’s thoughts as they watch. Why juggle multiple platforms like Netflix and Instagram when you can have both in one right here on WatchBuddy
Pantry Pro
No full textThis e-commerce site will be built using full-stack architecture, with the backend responsible for handling authentication, database operations, and order management, while the frontend will deliver a responsive and polished UI. A machine learning model will examine user account history and recipe popularity trends to generate personalized recommendations. In addition, an LLM will serve as a chatbot for an interactive quiz that helps users decide “what to eat”. Based on the quiz, the LLM will generate recipe suggestions and allow users to add all required ingredients of a recipe into the shopping cart. Through these practices, the platform will combine shopping, planning, and assistance into a single experience, making it one of one compared to other grocery websites
Equality for All in Employment Law: Section 1981 and the Struggle for Equality Amongst Citizens and Non-Citizens
No full textAutonomous Air Filtration Robot
No full textThis project presents the design, development, and implementation of a fully autonomous Mobile Air Filtration Robot intended to improve air quality in environments where pollutants, dust, allergens, and particulate matter can accumulate. Regions such as California’s Central Valley have a persistent issue in poor air quality where daily living conditions are often affected by wildlife smokes, agricultural emissions, and stagnant indoor environments. To address this issue, The project combines advanced sensing, real time decision making, SLAM based navigation, and adaptive air filtration control into one system that moves through indoor spaces without any assistance.
The Robot is built on a multidisciplinary engineering foundation involving embedded systems, robotics, mechanical design, and environmental sensing. A Raspberry Pi 5 running ROS 2 Jazzy forms the core of the computational architecture, managing communication between components, sensor integration, navigation, and system control. A 360° LiDAR module is utilized for environmental scanning and mapping, allowing the robot to construct accurate 2D maps and localize itself during movement within a room. The usage of SLAM integrated within ROS 2 allows for real time mapping and path planning, ensuring the robot avoids obstacles, identifies routes, and maintains localization even if the robot is physically moved by a person.
To measure air quality, the system incorporates the PMS5003, a particulate matter sensor, which constantly monitors PM1.0, PM2.5, and PM10 concentrations. Based on collected data, the robot evaluates the indoor Air Quality Index (AQI) levels and determines whether a location requires filtration. When the AQI exceeds a certain threshold, the robot will activate a filtration fan system with different variables of speed capable of adjusting airflow proportionally to detected pollution levels. This dynamic response ensures efficient filtration performance while minimizing power usage when air quality is already acceptable.
In addition to environmental monitoring and filtration, the robot features a fully autonomous recharging mechanism. A custom dock equipped with conductive charging prongs allows the robot to align itself, dock, and recharge without human intervention. Using navigation data and stored map information, the robot can return to its dock when battery levels are low, allowing for continuous operation throughout extended periods. The system also incorporates fail safes such as emergency stop behavior and collision avoidance.
The project highlights modularity and expandability. Each subsystem including power distribution, motor control, sensor suite, filtration assembly, and software stack is designed for independent development and testing while remaining fully integrated within the unified ROS II ecosystem. This allows for future enhancement such as wireless data reporting, smartphone integration, improved localization using AprilTags or ArUco markers, or more advanced environmental analytics.
Overall, this project demonstrates a practical approach to indoor air quality management through many engineering disciplines. By combining environmental sensing with intelligent mobility and adaptive filtration, the Mobile Air Filtration Robot provides scalable, efficient, and user-friendly methods for maintaining healthier indoor environments in homes, classrooms, and offices
Reclaiming Your Body, Reframing Your Mind: An OT Perspective on Postpartum Exercise Participation
No full textPerinatal Mental Health conditions affect up to 84% of birthing women. These include: Depression, anxiety, OCD, PTSD, Bipolar Disorders, and Psychosis. These mental health challenges may be influenced by stress, lack of sleep, role changes, family history, social determinants of health, etc
Understanding the Collaborative Role of Occupational Therapists and Personal Trainers with Young Onset Parkinson’s Populations
No full textThe lack of resources and research on YOPD decreases overall quality of life for individuals with YOPD and decreases treatment quality provided by healthcare professionals due to lacking Evidence Based Practice (EBP)
Advancing the Role of Occupational Therapy in Diabetes Self-Management: A Community-Focused Approach in Stockton
No full textKey Barriers: Lower Socioeconomic Status (LSES), low health literacy, and lack of culturally appropriate diabetes care hinder effective self-management. Gap in Services: Occupational therapy is underutilized in chronic disease care, with unmet needs in addressing diabetes-related depression, physical rehabilitation, and health education. Purpose: Equip occupational therapy students and early-career practitioners to address gaps in diabetes care using evidence-based, client-centered approaches
Enhancing Adaptive Aquatics for Children with Autism
No full textDrowning is the leading cause of death for children with autism. Current trainings lack inclusive, neurodiversity-informed teaching strategies. Without practical tools and education, instructors struggle to meet the unique sensory and communication needs of these swimmers