Medicinal Plants Analysis Using CNN and Random Forest

I need a skilled data scientist or machine learning expert to work on a project involving a dataset of medicinal plants sourced from an existing database. The dataset is organized in a folder and contains images of various plants.

Key Requirements:
- Use Convolutional Neural Networks (CNN) and Random Forest algorithms
- Analyze the images and compare accuracy of the two models
- Provide a detailed report of your findings

Ideal Skills and Experience:
- Expertise in machine learning and image processing
- Proficiency in Python and libraries such as TensorFlow or PyTorch
- Strong analytical skills and experience with accuracy metrics

Please include relevant project experience in your bids.