Fish-Market-Detection

Description

Fish-Market-Detection is a web app to predict the fish species
with the help of a logistic regression model.

Sample Data

  Species  Weight  Length1  Length2  Length3   Height   Width
  Perch   135.0     20.0     22.0     23.5   5.8750  3.5250
  Perch  1000.0     39.8     43.0     45.2  11.9328  7.2772
  Smelt    10.0     11.3     11.8     13.1   2.2139  1.2838
  Bream   720.0     32.0     35.0     40.6  16.3618  6.0900
  Perch   320.0     27.8     30.0     31.6   7.6156  4.7716

Species Type

Project Structure

│   requirments.txt
│
├───FishMarketProject
│   │   db.sqlite3
│   │   finalFishModel.sav
│   │   manage.py
│   │
│   ├───fish
│   │   │   admin.py
│   │   │   apps.py
│   │   │   models.py
│   │   │   tests.py
│   │   │   urls.py
│   │   │   views.py
│   │   │   __init__.py
│   │   │
│   │   ├───migrations
│   │   │   │   __init__.py
│   │   │   │
│   │   │   └───__pycache__
│   │   │           __init__.cpython-38.pyc
│   │   │
│   │   ├───templates
│   │   │       histo.html
│   │   │       home.html
│   │   │       info.html
│   │   │       plots.html
│   │   │       result.html
│   │   │       test.html
│   │   │
│   │   └───__pycache__
│   │           admin.cpython-38.pyc
│   │           models.cpython-38.pyc
│   │           urls.cpython-38.pyc
│   │           views.cpython-38.pyc
│   │           __init__.cpython-38.pyc
│   │
│   └───FishMarketProject
│       │   asgi.py
│       │   settings.py
│       │   urls.py
│       │   wsgi.py
│       │   __init__.py
│       │
│       └───__pycache__
│               settings.cpython-38.pyc
│               urls.cpython-38.pyc
│               wsgi.cpython-38.pyc
│               __init__.cpython-38.pyc
│
└───model
    │   finalFishModel.py
    │   finalFishModel.sav
    │   Fish.csv
    │
    └───__pycache__
            fishmodel.cpython-38.pyc

This structure has two root folders & requirments file :

• The FishMarketProject which contains all django files
• The model folder contains the dataset and the trained model(Logistic Regression)

Getting Started

Pre-requisites and Local Development Server

• run pip install -r requirements.txt to install all packages and libraries needed for the project

• navigate to model then run python finalFishModel.py

• navigate to FishMarketProject *run python manage.py makemigrations

  • run python manage.py migrate
  • run python manage.py runserver

  The application is run at http://127.0.0.1:8000/

  Result

  

.