This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady I built ResQra, an AI-assisted animal welfare platform that brings multiple aspects of animal care, protection, discovery,rescue, and support into a single ecosystem. Built using Antigravity , it serves as a platform for animal welfare
ResQra is designed to support animals across different situations — from an injured stray that needs immediate attention to a pet whose health records need to be managed, an animal looking for adoption, or wildlife and animal-welfare information that users want to explore.It can also be used for getting area alerts for nearby animal related incident incidents . It's aim is to make animal reporting ,emergency guidance ,adoption discovery, and community coordination easier and more accessible.
The platform includes:
The central idea behind ResQra is not to solve only one animal-related problem. It is to create a connected animal-welfare ecosystem where AI can help users understand a situation, discover relevant resources, and take appropriate action.
From rescue and healthcare to adoption, wildlife, information, and community support, ResQra brings these workflows together in one platform.
Tagline: Every Life Deserves a Rescue.
Open Source: Open to Open Source Contribution 🌐
Built with: Google Antigravity (Advanced Agentic AI Assistant) 🤖
ResQra is a complete, mobile-first full-stack web application designed to connect citizens, animal welfare organisations (NGOs), veterinary hospitals, and municipal responders through real-time AI triage, spatial mapping, community duplicate verification, area alert clustering, pet management, wildlife education, and crowdfunding.
Originally conceived as an emergency response platform, ResQra is now actively maintained and is Open to Open Source Contribution.
This entire platform was architected, pair-programmed, and implemented using Google Antigravity—DeepMind's advanced agentic AI coding environment. Antigravity was leveraged to:
I built the ResQra prototype using Google Antigravity, using an AI-assisted development workflow to turn the idea into a working web application.
I started by defining the overall structure of ResQra and breaking the platform into different modules, including animal reporting, rescue, healthcare, adoption, resource discovery, wildlife information, news, fundraising, and other animal-welfare features.
Instead of trying to build everything at once, I developed the platform iteratively. I used prompts to describe individual features and workflows, reviewed the generated implementation, tested the functionality, and then refined the application based on what worked and what needed improvement.
Building the AI Workflow
A major focus was making AI a functional part of the application rather than simply adding a chatbot.
For animal reports, the application can use information such as the submitted image, location, and condition to analyze the situation and determine what type of response or workflow may be relevant.
For example, an injured animal can be directed toward an emergency or healthcare workflow, while an animal that is safe but needs a home can follow an adoption-related workflow.
I also worked on workflows for identifying related or duplicate reports and connecting users with relevant nearby resources.
One of the interesting parts of building ResQra with Antigravity was the iterative development process. I could describe a feature or change in natural language, inspect the resulting implementation, test it in the application, identify problems, and then refine it through additional iterations.
This allowed me to focus heavily on the product logic, user experience, and AI workflows, while using AI-assisted development to accelerate the implementation of the prototype.
The final result is a multi-purpose animal-welfare platform where AI is integrated into several workflows rather than being limited to a standalone conversational interface.
Animal welfare is not a problem that can be solved by a single person, organization, or application. Different communities have different needs, and useful solutions often come from combining ideas, technologies, and experiences from different people.
This is why I believe open innovation is important for projects like ResQra. By sharing ideas, code, approaches, and feedback, developers can improve existing solutions instead of constantly starting from scratch.
For ResQra, an open approach also creates opportunities for different contributors to improve different parts of the platform — from AI workflows and animal identification to resource discovery, healthcare features, adoption systems, and user experience. Building ResQra also showed me that AI-assisted development can lower the barrier to turning an idea into a working prototype. Tools such as Antigravity make it possible to experiment quickly, iterate on ideas, and focus more on solving the actual problem.
The goal of open innovation is therefore not simply to make software available to everyone. It is about creating a system where ideas can be shared, improved, challenged, and built upon by a wider community.
For a real-world problem like animal welfare, that collaboration can ultimately lead to solutions that are more useful, accessible, and adaptable. The biggest payoff of ResQra is reducing the effort between noticing an animal-welfare problem and figuring out what to do about it.
Instead of searching through different sources for NGOs, veterinary services, adoption opportunities, animal information, or other relevant resources, users can start from a single platform and let ResQra help identify the appropriate workflow.
For example, someone who finds an injured animal doesn't have to figure out from scratch whether the situation requires rescue, veterinary assistance, or another form of support. By providing the available information, ResQra can help analyze the situation and guide the user toward the relevant resources. The same idea applies beyond emergencies. Someone looking to adopt an animal, find pet-health information, explore wildlife, discover animal-welfare news, or support a treatment campaign can access these different workflows from the same platform.
The goal isn't just to save a few clicks. It's to reduce the friction, uncertainty, and time spent figuring out what to do next.
Open -Source AI Challenge Submission