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. […]
READ MOREAuthors : 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. […]
READ MOREAuthors :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 […]
READ MOREAuthors : 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 […]
READ MOREAuthors : 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 (GLCM) that helps a lot in increasing the classification accuracy. […]
READ MOREAuthors: 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 shows a machine learning (ML) approach for diagnosing […]
READ MOREAuthors :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 Deep Learning (DL) have transformed the automatic identification and categorization of CVDs from ECG images. This […]
READ MOREAuthors : Mr. Pankaj S. Wankhede , Ganesh Khekare , Dr. Amitabh Wahi DOI : 10.46335/IJIES.2025.10.8.20 Abstract: The current reality is very fast-paced edge computing that shortly will be demanding robust security and scaling solutions for its necessarily distributed and resource-constrained nature. Addressing this need, this paper critically assesses machine learning and deep learning models […]
READ MOREAuthors : Rahul V. Bambodkar, Amitabh Wahi, Ganesh Khekare DOI : 10.46335/IJIES.2025.10.8.19 Abstract: With the increasing dependence on cloud computing and Internet of Things (IoT) environments, data integrity, confidentiality, and availability become significantly larger issues. The reviews of the existing IDSs have often failed to consider the optimization techniques, scalability, privacy preservation, and adaptability of […]
READ MOREAuthor : Suvarna Girase , Dr. Nilesh Choudhary DOI : 10.46335/IJIES.2025.10.8.6 Abstract –IoT (Internet of Things) technologies are essential to supplying the world’s expanding food demand, and the change in farming methods has brought along both benefits and challenges. IoT sensors monitor essential parameters like soil pH, moisture, and water levels. For instance, water volume […]
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