Kashipara.com is a community of ONE million programmers and students, Just like you, Helping each other.Join them. It only takes a minute: Sign Up
Job Resume TemplateDetecting phishing website using machine learning algorithms project features and function requirement. Share Python Project ideas and topics with us. Grate and many Python project ideas and topics . Here some Python project ideas for research paper. Here large collection of Python project with source code and database. We many idea to development application like mobile application,desktop software application,web application development. You can find more project topics and ideas on Python. Development ideas on Detecting phishing website using machine learning algorithms. You can find Top Downloaded Python projects here. Many project available to download with Python source code and database. Free download Detecting phishing website using machine learning algorithms project synopsis available.
Free download Detecting phishing website using machine learning algorithms mini and major Python project source code. Download simple learning Python project source code with diagram and documentations. More project with source code related to latest Python projects here.
| Publish by | Rinkal Vala |
| Project Name | Detecting phishing website using machine learning algorithms |
| Upload Date | February 23, 2021 |
| Platform | Python |
| Programming Language | python |
| Database | mysql |
| Front end | |
| Back end | |
| Project Type | web Application |
| View | 2000 |
A fraud attempt to get sensitive and personal information like password, username, and bank details like credit/debit card details by masking as a reliable organization in electronic communication. The phishing website will appear the same as the legitimate website and directs the user to a page to enter personal details of the user on the fake website. Through machine learning algorithms one can improve the accuracy of the prediction. The proposed method predicts the URL based phishing websites based on features and also gives maximum accuracy. This method uses uniform resource locator (URL) features. We identified features that phishing site URLs contain. The proposed method employs those features for phishing detection. The proposed system predicts the URL based phishing websites with maximum accuracy. We shall talk about various machine learning, the algorithm which can help in decision making and prediction. We shall use one of the algorithm to get better accuracy of prediction.
3.1. User Interaction Features • Horoscope Input Form Users can enter their name and select their zodiac sign through an intuitive web form. • Personalized Horoscope Display After submitting the form, users receive personalized astrological predictions and details including mood, lucky color, lucky number, element, and compatibility. • D ... [ Download Source Code ]
? Features of Astrological Management System 1. Zodiac Sign Calculation Automatically calculates the zodiac (sun) sign based on the user’s date of birth. Handles all 12 zodiac signs with accurate date ranges. 2. Horoscope Generation Generates a random daily horoscope for each zodiac sign. Simulates basic astrology behavior using a pre ... [ Download Source Code ]
? 1. Admin Panel Add New Product Admin can add product details: name, category, price, stock. Edit Product Modify product name, price, quantity, etc. Delete Product Remove product permanently. View Product List Table of all products with edit/delete options. ... [ Download Source Code ]
Admin Create Admin account using following command After Login, can see Unit of blood of each blood group available, Number Of Donor, Number of blood request, Number of approved request, Total Unit of blood on Dashboard. Can View, Update, Delete Donor. Can View, Update, Delete Patient. Can View Donation Request made by donor and can approve or ... [ Download Source Code ]
Its a web application created by using the Django framework having donor,admin, receiver modules it will be using on real-time blood stock management at hospitals to keep the blood stocks. ... [ Download Source Code ]