Hand Crafted Shopping Project in PHP MYSQL

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BUY NOW SOURCE CODE ₹701

BUY NOW PROJECT REPORT ₹501

About The Project OnlineHand Crafted Store System This project Online Hand Crafted Store System has been developed on PHP and MySQL. This simple online store serves some features that are commonly found in other popular online stores. Hand Crafted Store with Source Code is a PHP project that can buy hand crafted Product, Clothes, decorations, fashion accessories , shoes etc  through online services. This program was developed by using PHP, HTML, MySQLi, and Javascript. The system is basically easier to understand, the customer should create an account first to order some clothes. Then the user will choose their preferable clothe and add them to the shopping cart in order to check out the product. The admin has an important role here, he manages all the daily transactions, adding new clothes, setting up the product offers, and monitoring customer information.

Features Of Online Hand Craft Store PHP MYSQL

Public/Customer Side

  1. Login Registration
  2. Product List
  3. Category List
  4. Shopping Cart
  5. Checkout
  6. View Offers
  7. View Order History
  8. Submit Feedback

Admin

  1. Login
  2. Manage Category
  3. Add Product
  4. Manage Orders
  5. Manage Feedbacks
  6. Manage Users

Brief overview of the technology

Front end: HTML, CSS, JavaScript

  1. HTML: HTML is used to create and save web document. E.g. Notepad/Notepad++
  2. CSS : (Cascading Style Sheets) Create attractive Layout
  3. Bootstrap : responsive design mobile freindly site
  4. JavaScript: it is a programming language, commonly use with web browsers.

Back end: PHP, MySQL

  1. PHP: Hypertext Preprocessor (PHP) is a technology that allows software developers to create dynamically generated web pages, in HTML, XML, or other document types, as per client request. PHP is open source software.
  2. MySQL: MySql is a database, widely used for accessing querying, updating, and managing data in databases.

Software Requirement(any one) 

  1. WAMP Server
  2. XAMPP Server
  3. MAMP Server
  4. LAMP Server

How to Run

Requirements

  1. Download and Install any local web server such as XAMPP/WAMP.
  2. Download the provided source code zip file. (download button is located below)

Installation/Setup ( Note : Watch Above Demo Video to  Underatand )

  1. Open your XAMPP/WAMP's Control Panel and start the Apache and MySQL.
  2. Extract the downloaded source code zip file.
  3. If you are using XAMPP, copy the extracted source code folder and paste it into the XAMPP's "htdocs" directory. And If you are using WAMP, paste it into the "www" directory.
  4. Browse the PHPMyAdmin in a browser. i.e. http://localhost/phpmyadmin
  5. Create a new database naming Database Name.
  6. Import the provided SQL file. The file is known as projectworlds handcrafted_store.sql located inside the db folder.
  7. Browse the Online Clothi Store in a browser. i.e. http://localhost/Project Folder Name/ .

Tomato Leaf Disease Prediction CNN Python Flask Project

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Buy Now Source Code ₹1501

Buy Now Project Report ₹1001

The Tomato Leaf Disease Predictor is a flask web application which classifies a plant/leaf image into 10 categories viz. 'Tomato_mosaic_virus', 'Early_blight', 'Septoria_leaf_spot', 'Bacterial_spot', 'Target_Spot', 'Spider_mites Two spotted_spider_mite', 'Tomato_Yellow_Leaf_Curl_Virus', 'Late_blight', 'Healthy', and 'Leaf_Mold'. The code is written in Python 3.6.10 and makes use of Keras and Tensorflow libraries in developing an InceptionV3 based image classification web application.

Datasets Link - https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf

About Dataset

The data has different types of diseases for tomato leaves.
Here goes the list:

  1. Tomatomosaicvirus
  2. Target_Spot
  3. Bacterial_spot
  4. TomatoYellowLeafCurlVirus
  5. Late_blight
  6. Leaf_Mold
  7. Early_blight
  8. Spidermites Two-spottedspider_mite
  9. Tomato___healthy
  10. Septorialeafspot

Technology Used in the project :-

  1. We have developed this project using the below technology
  2. HTML : Page layout has been designed in HTML
  3. CSS : CSS has been used for all the desigining part
  4. JavaScript : All the validation task and animations has been developed by JavaScript
  5. Python : All the business logic has been implemented in Python
  6. Flask: Project has been developed over the Flask Framework

Supported Operating System :-

  1. We can configure this project on following operating system.
  2. Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install
  3. Python 3.6.10, PIP, Django.
  4. Linux : We can run this project also on all versions of Linux operating systemMac : We can also easily configured this project on Mac operating system.

Installation Step : -

  1. python 3.6.10
  2. command 1 - python -m pip install --user -r requirements.txt
  3. command 2 - python app.py