College Enquiry Chatbot

Author Name

College Enquiry Chatbot

Authors : Shriya Kawle, Chrisbin Thomas, Joe Mathew, Jayshri Harde DOI : 10.46335/IJIES.2024.9.7.12 Article Link 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 […]

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 Article Link 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 […]

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 […]

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 Article Link 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 […]

Review of Sign Language Recognition Methods to Support the Disabled

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 […]

Phishing Website Detection Using Machine Learning

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 […]

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

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 […]

Machine Learning-Driven Identification of Cotton Leaf Diseases for Precision Agriculture

Machine Learning-Driven Identification of Cotton Leaf Diseases for Precision Agriculture Authors : Tushar Mohite Patil , Sanjay Pandey2, Ravindra Duche DOI :10.46335/IJIES.2025.10.7.12 Abstract – In this study, we propose a machine learning-based method for automatic detection of cotton leaf diseases based on Random Forest classifier. Other features extracted are color based (RGB) and texture based […]

Predicting Chronic Kidney Disease with Machine Learning Algorithms

Predicting Chronic Kidney Disease with Machine Learning Algorithms Authors: Jayesh Sanjay Patil ,Nilesh Vani DOI : 10.46335/IJIES.2025.10.6.14 Abstract – Chronic Kidney Disease (CKD) is a progressive, irreversible condition distinguish by a gradual decline in kidney functions, often remaining asymptomatic until advanced stages. Early detection is essential for improving patient outcomes and prolonging survival. This study […]

A Review of Machine Learning and Deep Learning Techniques for Identifying Cardiovascular Disease in ECG Images

A Review of Machine Learning and Deep Learning Techniques for Identifying Cardiovascular Disease in ECG Images Authors :Ms.Shraddha R. Mundada , Mr.Prashant Shimpi DOI : 10.46335/IJIES.2025.10.6.2 Abstract –Globally Cardiovascular diseases (CVDs) rank among the top causes of death. Electrocardiogram (ECG) readings provide vital information necessary for diagnosing heart ailments. Techniques in Machine Learning (ML) and […]

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