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Why Do We Need So Many Programming Languages

Why Do We Need So Many Programming Languages/strong>
Authors:-Kajal Nanda

Abstract-If we attempt to measure the need for the proliferation of so many programming languages, we will get an answer but it is a serious question in itself: why do we need so many programming languages?! Albeit there are existing so many dominant programming languages which can perform almost every task specifically, we are developing and depending upon a variety of them. Through this paper, the rationale behind developing diverse programming languages will be explored and the other factors like performance optimization, ease of use, specification and demand of the evolution of the era of technology will be discussed. It will also examine the distinguished categorisation of computer languages.

DOI: 10.61137/ijsret.vol.10.issue6.370

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Youtube Video Summary Generator

Youtube Video Summary Generator
Authors:-Ms. Sumalata Bandri, Mr. Abhishek Pandey, Mr. Bhushan Mahadule, Mr. Om Satpute, Mr. Vaibhav Jawade

Abstract-This project introduces the YouTube Video Transcribe Summarizer, a tool designed to automatically extract transcripts and generate concise summaries from YouTube videos. By leveraging the YouTube Transcript API, the system retrieves accurate video transcripts and utilizes Google Gemini Pro’s advanced text-based model to create coherent summaries.
Users can input a YouTube video URL, which displays the video thumbnail for context. The application features a customizable prompt template to tailor the summary generation process, ensuring relevance to individual needs. Built on a user-friendly Streamlit interface, this tool aims to enhance content accessibility and engagement. Additionally, the project explores the possibility of executing local models for improved performance and user control. By streamlining the summarization of video content, the YouTube Video Transcribe Summarizer facilitates more efficient information consumption, empowering users to navigate the vast landscape of online video more effectively.

DOI: 10.61137/ijsret.vol.10.issue6.369

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Detection of Phishing Websites Using Machine Learning

Detection of Phishing Websites Using Machine Learning
Authors:-Manish Gujral, Harsh Kumar, Annu Sharma, Dr.Monika

Abstract-Phishing is a category of cyberattack that includes the theft of credit card numbers, passwords, and other private data. We have employed machine learning algorithms to identify phishing websites in order to prevent phishing fraud. The availability of several services, including social networking, software downloads, online banking, entertainment, and education, has sped up the development of the Web in recent years. Consequently, enormous volumes of data are downloaded and uploaded to the Internet on a regular basis. Attackers can now obtain private information, including social security numbers, account numbers, passwords, and usernames, as well as financial information. This is one of the most important problems with web security and is referred to as a “phishing” attack on the internet. To identify these malicious websites, we employ a variety of machine learning methods, including KNN, Naive Bayes, Gradient Boosting, and Decision Trees. The study is broken down into the following sections. The introduction outlines the tools, methods, and concentrated zones that are employed. The process of gathering the data needed to proceed is described in depth in the preliminary section. Subsequently, the paper highlights the thorough examination of the information sources.

DOI: 10.61137/ijsret.vol.10.issue6.368

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