ISRO-B.E._Final_Year_Project

Built using Python Flask, HTML, CSS, JavaScript, Python-Streamlit, Machine Learning, Image Processing, Navigation Techniques

1. Aims to monitor and detect the quality of water using smart sensor technology, Machine Learning, Image Processing, Live bot Tracking and navigation.
2. Using an on-site measurement technique with image processing that will provide real-time estimation of water quality, as well as the detection of lake water quality index (WQI) using machine learning with a website that is fully configurable for monitoring the data on a real-time basis.

Table of Contents

• Installation
• Usage

Installation

Instructions on how to install the project and any necessary dependencies.

Download via Cmd

1.pip install flask

2.pip install Flask-Login

3.pip install mysqlclient

4.pip install Flask-SQLAlchemy

To download XAMPP, click here

Usage

Instructions on how to use the project and any relevant examples.

If the usual execution does not work

1.Open Cmd of your application

2.Nvigate to the directory you have extracted the file [via. cd]

3.Now execute the command - python main.py

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XAMPP

After extraction & installation of the file

1.Start the 'Apache' & 'MySql'

2.Click on the 'Admin', you will be redirected to the phpmyadmin server

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Importing database to xampp server

Open xampp server, create new Database with name "h20webmonitor"

Click on import, and choose file to import, in our case "h20webmonitor.sql"

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To check connectin between Database and Website

Type /test at the end of locally hosted server [http://127.0.0.1:5000/test]

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