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Face Recognition Based Attendance System

Authors :  Adwait Kotewar, Ashwin Falke, Devendra Thawari DOI : 10.46335/IJIES.2024.9.6.5 Article Link Abstract—The old, ineffective techniques of measuring atten- dance are being replaced by newer, more advanced technologies. Face recognition based attendance system have become a cutting- edge and practical resolution to this problem. In order to expedite the process of taking attendance in business […]

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Enhancing Communication Accessibility: A Review Of Deep Learning Techniques in Hand Gesture Recognition for Sign Language Interpretation

Authors : Ashlesha Dhawanjewar DOI : 10.46335/IJIES.2024.9.6.1 Article Link Abstract— Hand gesture recognition, particularly in the context of sign language recognition for deaf-mute individuals, has garnered significant attention due to its potential to enhance communication accessibility. This paper reviews recent advancements in hand gesture recognition, focusing on deep learning methodologies. Specifically, we explore the application of […]

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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 […]

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Smart Trash Can

Authors : Om Patle, Prasad Gomkale, Om Vispute , Prasad Gomkale , Shashank Juwar,Prof. V. V. Deshpande DOI : 10.46335/IJIES.2024.9.8.20 Abstract—Smart Trash Can (STCs) have emerged as a promis- ing solution to optimize waste management practices in hospital environments. This paper presents a comprehensive overview of STCs, focusing on their design, implementation, and potential impact on […]

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Breast Cancer Detection Using Ensemble Deep Learning

Authors : Pallavi Kapse, Rimzim Janwe , Dr. Yogesh Golhar DOI : 10.46335/IJIES.2024.9.9.9 Abstract – Breast Cancer is one of the highly increasing cancer diseases in women worldwide. Ensuring a precise diagnosis of this critical illness is pivotal for the patients’ survival. To attain outstanding results in breast cancer classification, we propose employing a sophisticated […]

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Plant’s Diseases Detection and Pest Control Based On Deep Learning

Authors : Bhagyashree Bais DOI : 10.46335/IJIES.2024.9.9.3 Abstract— Invasive organisms and Plant disorder have a big influence on output and quality. By employing digital image processing, scholars can precisely detect these problems. Researchers are looking into using deep learning to identify pests and agricultural diseases since recent developments in the field have outperformed more conventional […]

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Secure Access Control Using Face Recognition

Authors : Anagha Borkar , Sakshi Deote , Saloni Nimje , Vaishnavi Dandekar, Vaishnavi Gomase ,Dr. S.S. Golait , Ms. Ashwini Lokande DOI : 10.46335/IJIES.2025.10.3.7 Abstract – Face recognition has emerged as a leading biometric technique for secure and efficient person authentication, offering a user-friendly alternative to traditional password-based systems. Th is project, titled “Face Recognition […]

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A Survey on AI-Based Object Recognition and Autonomous Control for Smart Locomotives for Enhancing Railway Automation

Authors:Dr. Yogesh Kirange, Sudarshan Jadhav, Harshal Tawade, Kamini Rajput, Piyush Chaudhari, Pranav Shirsath DOI :10.46335/IJIES.2025.10.9.1 Abstract – The rapid advancement of artificial intelligence (AI) has significantly transformed autonomous locomotive systems, enhancing their efficiency and safety. This study presents an AI-powered object detection framework for logistics-centric autonomous locomotives, leveraging the Robot Operating System (ROS) infrastructure. The […]

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DNA Sequencing and Criminal Identification Using DL

Authors : Dr. Swarupa Amey Wagh DOI : 10.46335/IJIES.2025.10.7.13 Abstract –The Rapid advancements in deep learning have significantly transformed DNA sequencing and forensic identification. Traditional forensic DNA analysis relies on STR profiling, but deep learning techniques offer enhanced accuracy, speed, and automation. This research explores the integration of convolutional neural networks (CNNs), recurrent neural networks […]

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Performance and Computational Efficiency of Deep Learning Models for Anomaly Detection on the UCSD Dataset

Authors : Mrs. Sangita Mahendra Rajput , Prof. Dr Mangesh D Nikose DOI : 10.46335/IJIES.2025.10.7.10 Abstract – The emergence of deep learning models has significantly improved the accuracy of anomaly detection in surveillance, crowd analysis, and other real-world applications. However, the challenge remains to balance performance with computational efficiency, particularly for real-time applications. This study […]

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