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Articles by B.Tech Scholar
AI-Enhanced Repair Management and Electronic Lifecycle Techniques
Venkatesh Patil , Harshad Lokhande, Saloni Patil, Swamini Phapale, Prasad Donglikar Abstract This research integrates the outcomes of various research conducted on electronic maintenance, repairability, and gadget lifespan within the past few years to design the GadgetCare platform. Recent research has shown how digital reminder systems and booking systems can increase the efficiency of gadget servicing.
Smart Stick For Visually Impaired Persons Using Multiple Sensors
Mohd Rafey , Mohd Adil, Muskan Awasthi, Kavita Agarwal Abstract Due to the absence of visual perception, blind people are faced with great difficulties in safe navigation. The traditional white cane is not very helpful. It can only tell you something is in your way after you hit it. This makes it more likely that you will get hurt. We made a Smart Stick to help blind people navigate safely. This Smart Stick uses sensors to help them get around.
Digital Platform for Crop Health and Agricultural Services
Nanditha H Prasad , Sana M, Sredha Selvam Pereira, Stephina Stanly, Aiswarya I P Abstract Modern precision agriculture requires the incorporation of high-accuracy diagnostic instruments to guarantee food security for inexperienced practitioners. This paper introduces an AI-driven agricultural web architecture that connects deep learning-based diagnostics with real-world farm management.
Sign Language Recognition Using Deep Learning: A Systematic Review of Models and Approaches
Sruthi SJ , Evaniya Anna Suvi, Rejeena J Jajin, Annfino Jagan, Shakhy PS Abstract SLR has evolved as one of the most important areas in human–computer interaction and assistive communication technologies. With the rapid development of deep learning, SLR systems have evolved from traditional handcrafted features to highly efficient data-driven models capable of grasping complex spatial and temporal patterns in sign sequences.
International Journal of International Journal of Innovative Research in Computer Science and Technology
MD Shahid Ali , Saif Ali , Abdullah Parwez, Abu Sufiyan, Mohd Haroon Abstract Big texts data are tiresome to sift through manually. Sentiment analysis is a machine process employing calculating (AI) to determine positive and negative sentiment from the text. Sentiment analysis is most frequently utilized in gathering insights through social media messages, survey answers, and customer opinions to make data-informed decisions.
International Journal of International Journal of Innovative Research in Computer Science and Technology
Sahil Ateeque Khan , Saad Shams, Parvej Alam, Hauwa Yakubu, Ajaz Husain Warsi Abstract The lack of sufficient blood reserves and delayed delivery services in Indian healthcare facilities causes 12,000 daily fatalities. The nation demands 14.6 million units of blood annually yet experiences more than 1 million unit’s shortage.
Enhancing Credit Card Transaction Security Using Support Vector Machines and Feature Engineering Techniques
Mohd Asad Jawaid , Sayyed Ameen Naqvi, Mohd Safdar, Mohd Haroon Abstract The quick spurt in online transactions has also brought with it a parallel surge in fraud. With digital payments, the scope for fraud remains very high. Credit card fraud, among others, can cause heavy losses to customers and erode the confidence of consumers in Internet transactions. Furthermore, the detection of fraudsters in the online world poses big challenges.
International Journal of International Journal of Innovative Research in Computer Science and Technology
Mohd Tanveer , Mohd Azat, Inayat Husain, Sakil Ahmad, Mohammad Aalam Khan Abstract Virtual classrooms have evolved quite quickly, particularly as a response to the challenges of global education and increased demand for flexible, remote learning platforms. This article discusses the existing state of virtual classrooms and looks into their future possibilities with the inclusion of Virtual Reality (VR) technologies.
International Journal of International Journal of Innovative Research in Computer Science and Technology
Rehan Raja , Hiba Saleem, Shayan Ahmad, Mohd Arslaan, Nida Khan Abstract Machine learning (ML) has emerged as a transformative tool in cybersecurity, particularly for automating threat detection processes that traditionally depend on manual analysis. By leveraging algorithms such as convolutional neural networks (CNNs), support vector machines (SVMs), and Bayesian classifiers, ML enables more efficient identification of malicious activities compared to human-driven approaches.
An Efficient Attendance Management System for College Environments Using Machine Learning Facial Recognition Technology
Asad Zia Lari , Faham Khan, Adeeb Ahmad, Ahmad Ali Raza, Mohammad Suaib Abstract Face recognition-based attendance systems have rapidly evolved as efficient solutions for automating attendance in educational and professional settings. Traditional methods- like roll calls and RFID systems-often face challenges such as inaccuracy, time consumption, and proxy attendance issues [1].
International Journal of International Journal of Innovative Research in Computer Science and Technology
Md Zishan , Arshad Khan, Mohammad Sohel, Md Mahtab, Mohammad Suaib Abstract Smart Home Automation Systems (SHAS) are a revolutionary solution towards contemporary living, promoting ease, security, and efficiency. This paper discusses the design, development, and challenges of smart homes in terms of Internet of Things (IoT) devices, wireless communication technologies, and artificial intelligence.
Diffusion Dynamics Applied with Novel Methodologies
Anmol Chauhan , Sana Rabbani, Devendra Agarwal, Nikhat Akhtar, Yusuf Perwej Abstract An in-depth analysis of using stable diffusion models to generate images from text is presented in this research article. Improving generative models' capacity to generate high-quality, contextually appropriate images from textual descriptions is the main focus of this study.
Intelligent Plant Disease Diagnosis Using Machine Learning Techniques- A Review
No matter how we look at it, there are no chances to live without the flora surrounding us. One can be troubled by a broad range of diseases that attack the integrity of his or her health. Basically, all the plant parts are fruits, stems, roots, leaves, and so on. The time and money in terms of having successfully figured out the disease of a plant are much less than that if a diagnosis error has been made.
Applications of Machine Learning in Predictive Analysis and Risk Management in Trading
Kavin Karthik V Abstract The stock market is considered the primary domain of importance in the financial sector where Artificial Intelligence combined with various algorithmic practices empowers investors with data-driven insights, enhancing decision-making, predicting trends, and optimizing risk management for more informed and strategic financial outcomes.
Fire Alarm System Through Smoke Detection
Fire Alarm System Through Smoke Detection Manya Sinha , Shivank Solanki, Sudeep Batra, Dr. Yojna Arora, Abhishek Tewatia Abstract A reliable fire alarm system (FAS) is crucial for timely reporting and responding to fires. While existing techniques can predict undesirable outcomes, they lack guidance on when and how workers should intervene to minimize the associated costs.
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