ML/DL-Powered Rock Classification App
Budget: €250 – €750 EUR
I'm searching for a skilled programmer to develop a state-of-the-art application that can classify images of rocks. Leveraging Python, the app should harness Machine Learning (ML), Deep Learning (DL), and Unsupervised Learning Models.
Key Responsibilities:
- Automatic Image Classification: The application will automatically classify incoming images of rocks, leading to a more streamlined process.
- Result Formatting: The app should categorize and display the image classification results rather than generating a text description or data file.
- Unsupervised Learning: Utilize unsupervised learning models to adapt and evolve the rock classification system in an ongoing manner.
Ideal Skills and Experience:
- Strong proficiency in Python and ML libraries.
- Proven experience in app development involving ML and DL.
- Knowledge in Unsupervised Learning Models and Image Classification.
Key Responsibilities:
- Automatic Image Classification: The application will automatically classify incoming images of rocks, leading to a more streamlined process.
- Result Formatting: The app should categorize and display the image classification results rather than generating a text description or data file.
- Unsupervised Learning: Utilize unsupervised learning models to adapt and evolve the rock classification system in an ongoing manner.
Ideal Skills and Experience:
- Strong proficiency in Python and ML libraries.
- Proven experience in app development involving ML and DL.
- Knowledge in Unsupervised Learning Models and Image Classification.