PalmReaderAI is a Flask-based web application designed to generate personalized palm readings from uploaded hand images. This project leverages cutting-edge AI models like Groq (llama-3.2-90b-vision-preview) and Gemini to create meaningful and engaging palm reading results, translated beautifully into Turkish.
- AI-Powered Palm Analysis: Utilizes the
LlamaAI model to analyze hand lines, finger length, and palm structure. - Dynamic Formatting: Enhances readability with bold highlights for key insights.
- Image Compression: Optimizes uploaded images for efficient processing.
- Turkish Language Support: Translates results into Turkish with cultural nuances.
- Secure and Scalable: Protects sensitive data and API keys with environment variables.
- Python
- Flask
- Pillow (Image Processing)
- Groq and Gemini AI Models
- dotenv (Environment Variable Management)
- Clone the Repository:
git clone https://github.com/yourusername/PalmReaderAI.git cd PalmReaderAI