Classification of liver disease tobacco leaves.

• Tech Stack: Python, MySQL, Reacjs, API Django Rest Frameworks.
• Github URL: Project Link |

Objectives of the study Research applying computer vision combined with AI and using ResNet-50 technique to identify supporting medicinal herbs, treating liver disease. After training the model with high accuracy will be put into practice to help those wishing to learn about medicinal herbs for liver disease as quickly and accurately as possible. Data includes: • Number of leaves identification: 14 types of medicinal herbs to prevent, support and treat liver disease.

• Collect, preprocess data from dataset using Python.
• Building a resnet model to classify tobacco leaves using python
• Using API Django REST Frameworks to build back-end website.
• Performing Data Modelling and Data Visualizing with Python.
• Build the web interface with Reacjs and complete the project.