dog-armor
Repository for DogArmor, a dog gear recommender that can find your dog the perfect harness, leash, and collar. Currently in production.
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (12.0%) to scientific vocabulary
Repository
Repository for DogArmor, a dog gear recommender that can find your dog the perfect harness, leash, and collar. Currently in production.
Basic Info
- Host: GitHub
- Owner: DogArmor-Devs
- Language: HTML
- Default Branch: main
- Homepage: https://dogarmor.online/
- Size: 3.23 MB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
DogArmor: Smart AI-Powered Dog Gear Recommender
🐶 DogArmor is currently in it's post-MVP, pre-Final Product phase. We are getting user feedback and still working on the AI models. If you're excited to use our technology, consider giving our github page a ⭐
Please note development is being done every day! Check it out for yourself at: https://dogarmor.online/
🚀 Overview | ⚙️ How It Works | 🧠 Features | 🛠️ Tech Stack
What are we?
DogArmor is an intelligent web app that recommends the perfect collar, harness, and leash combo for your dog utilizing: * Visual information -- AI will analyze a picture of the dog, looking for anatomical structure, size, and more * Behavioral information -- the dog's habits and behaviors * Environmental information -- the dog's surroundings * Budget
Overview
🟡 Why Fit Matters:
A properly fitting dog harness is essential for your dog's comfort, safety, and control during walks and activities.
- Too tight? Can cause chafing, skin irritation, or restrict movement/breathing.
- Too loose? Increases the chance of escape, snagging on objects, or uneven pressure that causes injury.
🔴 The Problem:
There are countless options—back-clip, front-clip, dual-clip, step-in—plus materials like nylon, mesh, leather, neoprene.
How do you choose the right one for your dog?
🟢 Our Solution:
DogArmor makes it simple.
You answer a few short questions about your dog's behavior, environment, and your budget, then upload a couple of photos.
Our AI analyzes everything—anatomy, size, habits—and recommends a tailored gear combo (harness, collar, and leash included).
How It Works
- Upload a photo of your dog to help us understand its size and shape.
- Fill out a short form about your dog’s behavior, habits, and environment.
- Get instant gear recommendations based on both the photo and your answers.
- View product links and details tailored to your dog’s unique profile. -- TO BE IMPLEMENTED
Features
🐾 Anatomy Detection — Our model analyzes key anatomical points (neck, chest, belly, back length) using pose estimation techniques to determine fit and comfort levels.
🎯 Behavior Personalization — Users can input behavioral traits like pulling tendency, aggression, or training level. These parameters are combined with anatomy data to personalize gear suggestions.
🛒 Intelligent Gear Matching — Our platform pulls product data from online retailers (e.g., Amazon, Chewy) and cross-references it with your dog’s profile to recommend the most suitable harness, collar, and leash combinations.
🖥️ Easy-to-Use Interface — A clean, intuitive web interface powered by Flask and Tailwind CSS, optimized for mobile and desktop, makes uploading photos and receiving gear suggestions fast and frictionless.
🧩 Future-Proof Backend — Modular Flask API architecture designed for scalability, with plans to incorporate multiple image angles, user feedback loops, and model fine-tuning.
🔄 End-to-End Pipeline — From image input to final product recommendation, the backend handles preprocessing, pose inference, behavior integration, and response generation—all automatically.
Tech Stack and Contact Info
Built with: - Python + Flask, HTML/CSS + Tailwind + AOS, SQLite, Future: ML models utilizing DeepLabCut and YOLO
Hosted Using: - Azure's cloud
For all questions, concerns, and business inquiries, please contact us at: dogarmorteam@gmail.com
Owner
- Name: DogArmor-Devs
- Login: DogArmor-Devs
- Kind: organization
- Repositories: 1
- Profile: https://github.com/DogArmor-Devs
Citation (Citations.md)
**Here are our references for images and other media used in DogArmor.** Dog-gear1.png Source: “OneTigris Adventure Dog Gear.” Stylish Paws, 3 Nov. 2022, https://stylishpaws.co.za/2022/11/03/onetigris-adventure-dog-gear/ Happy-dog.png Source: “Best Ways to Keep Your Dog Happier.” Farmer Pete's, https://www.farmerpetes.com.au/blogs/blog/best-ways-to-keep-your-dog-happier Harness-scene.png Source: “Comprehensive Guide to Front-Clip Dog Harnesses.” Wild Side Dog Gear, https://wildsidedoggear.com/blogs/news/comprehensive-guide-to-front-clip-dog-harnesses-benefits-and-recommendations Run-forest.png Source: “How to Hike Off-Leash with Your Dog.” Long Haul Trekkers, https://longhaultrekkers.com/hike-off-leash/ ## Stanford Dogs Dataset This project uses the Stanford Dogs Dataset. If you use this dataset, please cite: **Khosla, A., Jayadevaprakash, N., Yao, B., & Fei-Fei, L. (2013).** *Novel dataset for fine-grained image categorization.* [arXiv:1306.5151](https://arxiv.org/abs/1306.5151) Dataset available at: [http://vision.stanford.edu/aditya86/ImageNetDogs/](http://vision.stanford.edu/aditya86/ImageNetDogs/)
GitHub Events
Total
- Watch event: 1
- Issue comment event: 3
- Push event: 80
- Pull request event: 5
- Create event: 1
Last Year
- Watch event: 1
- Issue comment event: 3
- Push event: 80
- Pull request event: 5
- Create event: 1
Dependencies
- Azure/static-web-apps-deploy v1 composite
- actions/checkout v3 composite
- actions/github-script v6 composite
- Flask ==3.1.1