PALOMADE ML API

Team CH2-PS324 | Bangkit Capstone Project 2023

# Prerequisites
Before running the application, make sure you have the following installed on your machine:
- [Python 3](https://www.python.org/)

# Tech We Use
- Flask
- Tensorflow

Getting Started

1. Clone this repository to your local machine:

   git clone https://github.com/CH2-PS324/palomade-ml-api.git

2. Navigate to the project directory:

   cd palomade-ml-api

3. Install the dependencies:

   pip install -r requirements.txt

Running the Application

To start the Express.js server and run the database setup:

python main.js

API Endpoints

1. Predict Sawit Bongkahan

• Method: POST

• Path: /predict-bongkahan

• Description: endpoint for predict sawit bongkahan

• Request Body (form-data):

    image = Image (*jpg/png/jpeg)
  

• Response Body:

  {  
      "status": {
          "code": 200,
          "data": {
              "classType": "Bongkahan Sawit Matang",
              "precentase": 100
          },
          "message": "Success predicting"
      }
  }

• Error Respone:

  Error Invalid Format File

   {
       "status": {
           "code": 400,
           "message": "Invalid file format. Please upload a JPG, JPEG, or PNG image."
       }
   }

2. Predict Sawit Brondolan

• Method: POST

• Path: /predict-brondolan

• Description: endpoint for predict sawit brondolan

• Request Body (form-data):

    image = Image (*jpg/png/jpeg)
  

• Response Body:

  {  
      "status": {
          "code": 200,
          "data": {
              "classType": "Brondolan Sawit Matang",
              "precentase": 100
          },
          "message": "Success predicting"
      }
  }

• Error Respone:

  Error Invalid Format File

   {
       "status": {
           "code": 400,
           "message": "Invalid file format. Please upload a JPG, JPEG, or PNG image."
       }
   }