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Enhancing Cybersecurity through Machine Learning: A Review of Malicious Website Detection Methods

Authors : Nityay Kherde, Anushka Kale, Govind Kurup , Asmit Meshram ,Prof Leena Mandurakar DOI : 10.46335/IJIES.2024.9.7.17 Abstract-   This paper presents a review of machine learning-based approaches for identifying and classifying malicious websites. Various studies have tackled this challenge by extracting features from URLs and website content to train machine learning models. Methods include lexical, host-based, […]

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Creating a Dynamic AI Opponent in a 2D Fighting Game using Stateful Learning and Unity ML-Agents

Authors : Dhaval Barai , Ashwini Hivse, Chetali Bhoyar, Pracheta Lokhande,  Dr.Amol W. Pardhi DOI : 10.46335/IJIES.2024.9.7.16 Abstract – This paper proposes a novel approach for developing a dynamic AI opponent in a 2D fighting game using Stateful Learning and Unity Machine Learning Agents (ML-Agents). The AI leverages its observations of the player’s recent attacks […]

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End-to-End Reusable Data Analytics Pipeline Using Machine Learning

Authors : Aishwarya Umare, Akanksha Deshmukh, Harsh Kalbande, Lalit Bhanarkar, Prof. Riddhi Doshi DOI : 10.46335/IJIES.2024.9.7.14  Abstract— This paper presents a comprehensive approach to designing an end-to-end reusable data analytics pipeline using machine learning (ML) concepts. The proposed pipeline combines different machine learning techniques, such as data preprocessing, feature engineering, model training, and evaluation, to automate […]

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College Enquiry Chatbot

Authors : Shriya Kawle, Chrisbin Thomas, Joe Mathew, Jayshri Harde DOI : 10.46335/IJIES.2024.9.7.12 Abstract – The primary focus on the use of chatbots in the education industry, specifically refers to it as an inquiry chatbot. It covers the advantages of implementing a chatbot system in colleges, such as providing 24/7 access to information and reducing waiting […]

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Assets Estimation of Domestic and Scalable Edifice using Machine Learning Approach

Authors : Mohini Barapatre , Akshata Bettawar, Ishita Dharmik, Barnabas Johnson, Ansar Sheikh DOI : 10.46335/IJIES.2024.9.7.10 Abstract— Property valuation is a crucial aspect of real estate investment and decision-making processes, encompassing both residential and commercial sectors. Traditional methods of property valuation often rely on subjective assessments, leading to potential inaccuracies and inconsistencies. This research paper […]

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Enhancing Security with Machine Learning: Asymmetric Key Encryption and Federated Learning Approach On Review

Authors : Bhushan Chaudhari , Dr. Nilesh Yuvaraj Choudhary DOI : 10.46335/IJIES.2025.10.9.9 Abstract – The exponential growth of data in the digital era presents challenges for ensuring its security. Traditional methods of encryption, though effective, face limitations when combined with distributed computing and privacy-preserving models. This research explores the integration of machine learning, asymmetric key […]

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Face Recognition Based Real Time Attendance System Using Machine Learning

Authors : Prof. Ansar Sheikh , Nivedita Sanyal ,Payal Ninawe,Sanjana Waghe,Shruti Waghmare DOI : 10.46335/IJIES.2024.9.8.19 Abstract— In contemporary educational and workplaces are changing quickly these days, so it’s important to have an easier way to track who shows up. This study explores a new system that uses special face-  scanning technology to automatically take attendance. […]

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Review of Sign Language Recognition Methods to Support the Disabled

Authors : Prof. N R. Chopde , Miss. Janvi Datir , Miss. Ishwari Tote , Miss. Priyanka Kakad , Mr. Ajay Warthi DOI : 10.46335/IJIES.2025.10.1.1 Abstract – People with disabilities have difficulty in communicating, social commerce, prepossessions and repetitious behaviors. The situation gets parlous when these impaired people left alone freely in the outside world. […]

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Phishing Website Detection Using Machine Learning

Authors :Pratiksha S. Patil , Nilesh Vani DOI : 10.46335/IJIES.2025.10.9.8 Abstract – The growing prevalence of phishing assaults, especially in online banking and e-commerce, calls for the creation of reliable detection systems. A thorough analysis of the use of machine learning methods for phishing website identification is presented in this research. By leveraging supervised classification […]

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Review Paper On Disaster Prediction and Monitoring System Using Machine Learning Algorithms

Authors : Vidya Pardeshi, Dr. H. T. Ingale ,  Dr. Anilkumar Vishwakarma, Dr. I.S Jadhav , Dr. V.  D Chaudhari DOI : 10.46335/IJIES.2025.10.7.18 Abstract – Natural disasters like floods, earthquakes, and landslides can cause massive damage and loss of life. Many traditional disaster management systems focus on responding after a disaster happens, rather than predicting it […]

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