How Can Companies Utilize Generative AI For Operations

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How Can Companies Utilize Generative AI For Operations

Authors : Rohan Gorantiwar, Shruti Nandanwar, Parth Pidurkar, Swapnil Thawale, Pallavi Wankhede DOI : 10.46335/IJIES.2024.9.6.4 Article Link Abstract—Embarking on an exploration of generative Artificial Intelligence (AI) unveils its potential as a transformative agent across various sectors. This paper meticulously delves into the application of generative AI as a beacon for fostering innovation and sharpening competitive edges […]

Study on Neurodegenerative Disease Detection using Deep Neural Networks

Authors : DhirajKumar Gupta , Bhumishree Patil, Kalyani Fender, Atharva Rajkondawar DOI : 10.46335/IJIES.2024.9.6.3 Article Link Abstract—This article provides a comprehensive re- view of the use of deep learning techniques in the study of neurodegenerative disease detection and high- lights their importance in addressing the emerging health challenges of these diseases. The study inves- tigates […]

Design of Personalized E-Learning with Recommendation System: A Comprehensive Review of Research Findings and Methodologies

Authors : Dr. M.V. Bramhe , Abha Khandelwal, Harsha Kahar, Manthan Taksande, Mohit Bandawar, Dr. Mohit Agarwal DOI: 10.46335/IJIES.2024.9.6.2 Article Link Abstract: Advances in educational technology have developed personalized learning using a recommended system approach that tailors educational programs to the needs and interests of the individual learner. The basis of this approach is the integration […]

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 […]

Online Proctoring Examination System (OPES)

Authors : Yash Kalamkar, Vedant Kapse , Nishant Ghutke , Sanket Ingale , Prajakta karwandikar DOI : 10.46335/IJIES.2024.9.7.20 Article Link Abstract – Online Proctoring Examination System (OPES) is an occurrence of electronic learning and now distance education has prompted the creation of measures of assessment that are secure and reliable. Proctoring system based online exam are […]

Foodent Application

Authors : Vaishnavi Khapekar , Sejal Kamble , Taniya Yenprediwar , Nupur Khandale , Prof. Roshan Kotkondawar DOI : 10.46335/IJIES.2024.9.7.19 Article Link Abstract –Nowadays, food ordering has become very common. People are very concerned about their time and the essentials of life like food. Food ordering app helps people to get their food and save a […]

Design And Implementation Of Smart Bike Helmet

Authors : Prof. Nishat Faizee,, Ms. Prachi Adyalkar , Devesh Parate, Kshitij Meshram , Bhavna Balpande, Aman Koli DOI : 10.46335/IJIES.2024.9.7.18 Article Link Abstract— “Design and Implementation of Smart Bike Helmet” is an innovative wearable technology to increase passenger safety and comfort. It creates an essential passenger communication system by integrating a real-time IR engine […]

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 Article Link 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 […]

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 Article Link 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 […]

Design And Development Of Flask-Based Web Application For Brain Tumor Detection Through MRI Images And Federated Learning

Authors : Mr.Jagdish F. Pimple, Dr.Mohit Agarwal, Sameer Kedar, Isha Bhomle, Isha Bhomle,Pratiksha Bowade DOI : 10.46335/IJIES.2024.9.7.15 Article Link Abstract –In response to the increasing prevalence of brain tumors, our research focuses on pioneering diagnostic methods through a revolutionary approach. Leveraging federated learning and machine learning, we aim to create an advanced brain tumor detection model […]

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