🧘 YogaBliss – Yoga Pose Detection

🚀 YogaBliss is a Flutter-based mobile app that helps users improve their yoga practice using pose detection and classification. It allows users to upload images for analysis and get real-time feedback on their yoga postures.

🌟 Features

✅ Pose Classification – Detects and classifies yoga poses from uploaded images/videos.
✅ User-Friendly UI – Intuitive design for a smooth experience.
✅ Resources & Courses – Learn more about yoga through integrated videos and courses.
✅ Optimized for Mobile – Uses TensorFlow Lite for lightweight, efficient pose detection.

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📱 App Screenshots

🔹 Main Screens

🔹 Other Screens

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📂 Dataset

YogaBliss is trained on the Yoga Pose Classification dataset from Kaggle:

This dataset contains 5 yoga poses with images:

• 🧎 Downdog
• 💪 Plank
• 🏋️ Goddess
• 🌲 Tree
• 🏹 Warrior2

🔥 Model Training

The TensorFlow Lite model used in YogaBliss was trained using Google Colab. You can view the complete training process and code here:
🔗 YogaBliss Model Training Notebook

Training Details:

• Model: CNN-based classifier trained on Yoga Pose Classification dataset
• Framework: TensorFlow & Keras
• Optimized for mobile deployment using TensorFlow Lite

🚀 Installation

1️⃣ Clone the repository

git clone https://github.com/riiddhii28/flutter-yoga-pose-detection.git
cd flutter-yoga-pose-detection

2️⃣ Install dependencies

flutter pub get

3️⃣ Run the app

flutter run

⚡ Tech Stack

• Flutter (Dart) – Frontend framework
• TensorFlow Lite – AI model integration
• Firebase – User data and authentication

🔍 Keywords (for GitHub search)

Flutter, Yoga, Pose Detection, AI, Machine Learning, TensorFlow Lite, Yoga App, Pose Classification, Health, Wellness, Mobile AI, Fitness App, Yoga AI