https://github.com/kanugurajesh/stylesense
A comprehensive personalized fashion recommendation system
https://github.com/kanugurajesh/stylesense
fashion-recommendation flask hackathon-winner-project machine-learning python3 reactjs resnet-50 tailwindcss typescript
Last synced: 5 months ago
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A comprehensive personalized fashion recommendation system
- Host: GitHub
- URL: https://github.com/kanugurajesh/stylesense
- Owner: kanugurajesh
- Created: 2024-12-13T05:01:56.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-01-29T13:59:41.000Z (8 months ago)
- Last Synced: 2025-03-31T11:51:10.390Z (6 months ago)
- Topics: fashion-recommendation, flask, hackathon-winner-project, machine-learning, python3, reactjs, resnet-50, tailwindcss, typescript
- Language: TypeScript
- Homepage: https://stylesense-ten.vercel.app
- Size: 85.9 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 👗 AI-Powered Fashion Recommendation System
An intelligent fashion recommendation engine that delivers **personalized product suggestions** using **computer vision** and **machine learning**.
---
## ✨ Key Features
- 🔍 **Hybrid recommendation engine** using **collaborative filtering** & **visual search**
- 🛍️ **Real-time personalization** based on user preferences & behavior
- 📸 **Image-based search** – Upload a reference photo to find similar styles
- 📊 **A/B testing framework** for optimizing recommendations
- 🔒 **Privacy-focused** design with built-in **bias detection**
---
## 🏗️ Technical Architecture
### 🏛️ Core Components
```
├── recommendation_engine/
│ ├── collaborative_filtering/
│ ├── content_based/
│ └── visual_search/
├── api/
├── ml_models/
├── data_processing/
└── deployment/
```
### 🛠️ Tech Stack
- **Backend**: 🚀 Python (FastAPI), PostgreSQL, Redis
- **ML Framework**: 🤖 PyTorch, OpenCV
- **Deployment**: 📦 Docker, Kubernetes
- **Monitoring**: 📈 Prometheus, Grafana
---
## 🚀 Quick Start
### 🔧 Prerequisites
Ensure you have the following installed:
```bash
✅ python >= 3.8
✅ docker >= 20.10
✅ kubectl >= 1.20
```
### 📥 Installation
1️⃣ Clone the repository & setup environment:
```bash
git clone https://github.com/your-username/fashion-recommendation-system.git
cd fashion-recommendation-system
pip install -r requirements.txt
```
2️⃣ Start the services:
```bash
docker-compose up -d
python app.py
```
3️⃣ Access the API at: **`http://localhost:8000`** 🚀
---
## 🛠️ Development
### ✅ Running Tests
```bash
pytest tests/
```
### 🔥 Contributing
1. 🍴 Fork the repository
2. 🌿 Create a feature branch
3. 📝 Submit a PR with tests & documentation
---
## 📊 Performance Metrics
- 🎯 **98% recommendation accuracy**
- ⚡ **150ms average response time**
- 📡 **10K requests/second throughput**
---
## 📚 Documentation
- 📌 [API Reference](docs/api.md)
- 🏗️ [Model Architecture](docs/models.md)
- 📦 [Deployment Guide](docs/deployment.md)
---
## 📜 License
⚠️ **Proprietary & Confidential** – Unauthorized copying, modification, distribution, or use is strictly prohibited. See the `LICENSE` file for details.
---
## 📩 Contact
For licensing inquiries & support: 📧 [kanugurajesh3@gmail.com](mailto:kanugurajesh3@gmail.com)