Project Info

Winner

Fetch.ai: Smartest AI Agent Prize (Top 2 Teams - $3k Cash)

Pawsome

Devpost

This project did not submit a demo video on Devpost.

Welcome to Pawsome, the cutting-edge platform dedicated to enhancing the health and fitness of our beloved pets. Combining a deep love for pets with the latest in technology, we provide personalized wellness plans to ensure every pet gets the care they deserve. About Pawsome Pawsome isn't just a project—it's a mission to ensure the well-being of pets worldwide. Our platform offers tools and resources for pet owners to maintain and improve their pet's health and fitness, featuring interactive consultations and tailored fitness schedules. Our Vision We envision a world where every pet enjoys a happy, healthy life. Our goal is to prioritize pets' health and wellness, offering accessible, reliable solutions for their care. Technology Stack To deliver a seamless, efficient user experience, Pawsome leverages a comprehensive and robust stack: Frontend: React: A JavaScript library for building user interfaces. Next.js: A React framework for production; it makes building scalable applications easier. JavaScript: A programming language that allows you to implement complex features on web pages. TypeScript: A typed superset of JavaScript that compiles to plain JavaScript. HTML: The standard markup language for documents designed to be displayed in a web browser. CSS: The language used to describe the presentation of a document written in HTML. Tailwind CSS: A utility-first CSS framework for rapidly building custom designs. Frontend: React: A JavaScript library for building user interfaces. Next.js: A React framework for production; it makes building scalable applications easier. JavaScript: A programming language that allows you to implement complex features on web pages. TypeScript: A typed superset of JavaScript that compiles to plain JavaScript. HTML: The standard markup language for documents designed to be displayed in a web browser. CSS: The language used to describe the presentation of a document written in HTML. Tailwind CSS: A utility-first CSS framework for rapidly building custom designs. Backend: Flask: A micro web framework written in Python. Python: A programming language that lets you work quickly and integrate systems more effectively. Backend: Flask: A micro web framework written in Python. Python: A programming language that lets you work quickly and integrate systems more effectively. Integrations: Fetch.ai: An artificial intelligence lab working on creating a decentralized digital world. Integrations: Fetch.ai: An artificial intelligence lab working on creating a decentralized digital world. Agent 1 Using Fetch AI Agent 2 Using Fetch AI Agent 3 Using Fetch AI Together.ai: A platform that provides AI-based solutions. Together.ai: A platform that provides AI-based solutions. Postman: An API platform for building and using APIs. Postman simplifies each step of the API lifecycle and streamlines collaboration. Postman: An API platform for building and using APIs. Postman simplifies each step of the API lifecycle and streamlines collaboration. Bun: Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node.js-compatible package manager. It served as a JavaScript runtime optimizer for our project. Bun: Bun is an all-in-one JavaScript runtime & toolkit designed for speed, complete with a bundler, test runner, and Node.js-compatible package manager. It served as a JavaScript runtime optimizer for our project. These technologies are carefully chosen to ensure that Pawsome is not only cutting-edge but also robust and scalable, catering to the dynamic needs of pet owners and their beloved pets. This tech combination enables dynamic, responsive interactions and complex data processing across our platform. Features Interactive Pet Wellness AI Pawsome features a chat button for users to interact with our pet wellness AI. Depending on user needs, it offers appointment booking, medicine orders, or grooming session scheduling. Customized Fitness Center Our Fitness Center allows pet owners to input details like breed, weight, and health, creating a custom fitness plan tailored to their pet's needs, and promoting a holistic wellness approach. Custom Push Notifications To ensure pets and their owners stay on track with their wellness routines, Pawsome sends custom push notifications via email, reminding users of upcoming activities and schedules. Future Enhancements We're committed to continuously improving Pawsome with several key initiatives: Data-Driven Personalization: By gathering more data, we aim to make even more personalized recommendations, enhancing the effectiveness of wellness plans. E-commerce Platform: Developing a one-stop destination for all pet needs, from food to toys, ensuring pet owners have access to high-quality products. Network of Veterinarians: Establishing a network of doctors available for consultations and emergencies, providing peace of mind for pet owners. Getting Started Clone repo git clone https://github.com/mounika2000/treehacks.git cd Treehacks yarn Install dependencies npm install 3.Then, you can run locally in development mode with live reload: yarn dev Contributing Contributions are welcome! Whether you're a developer, designer, or pet wellness enthusiast, there are many ways to contribute to Pawsome. Please see our contributing guidelines for more details. Contact Us Sai Mounika Peteti: saimounika.peteti@sjsu.edu Chinmay Nilesh Mahagaonkar: chinmaynilesh.mahagaonkar@sjsu.edu Sanket Kulkarni: sanket.kulkarni@sjsu.edu Tanay Godse: tanay.godse@sjsu.edu

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Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • CSSIn code
  • JavaScriptIn code
  • Next.jsIn code
  • PythonIn code
  • ReactIn code
  • Tailwind CSSIn code
  • TypeScriptIn code
  • FlaskClaimed

7 of 8 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

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Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

86 KB

Source files

53

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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