Automated Academic Planning Using Machine Learning for College Students Kanagamalliga S, Srigitha S Nath, Vanitha M, Vishal S, Vijay Krishna M, Rajalingam S Proceedings of 2nd International Conference on Visual Analytics and Data Visualization Icvadv 2026, 2026 A personalised university guidance gadget named Student Ripples has been advanced to deal with the demanding situations college students face in making academic and career choices. The system has been designed as an internet-based totally platform that generates individualized educational roadmaps to help students in making plans their educational adventure effectively. A complete-stack architecture the usage of Python with the Django framework and React for the frontend has been applied to make certain scalability and responsiveness. Machine learning concepts were incorporated conceptually to allow destiny integration of a hybrid advice engine capable of suggesting internships, tasks, and optionally available guides primarily based on student statistics. The machine has been established to provide a visible roadmap where milestones constitute academic and expert development tiers. Through interactive features, college students are allowed to song their progress and get right of entry to relevant studying assets. The prototype has been evaluated as a useful proof of concept that promotes self-guided learning and informed selection-making. By applying records-pushed methodologies, the device has been meant to bridge the space among educational making plans and career education. The proposed method demonstrates how personalised digital tools may be applied to decorate scholar engagement, reduce academic uncertainty, and create a structured framework for non-stop academic and professional growth in better training.
Biometric and IoT Integration for Secure and Remote Door Access Control Using Fingerprint Recognition and GSM Technology Kanagamalliga S, Rajalingam S, Kannan A, Karthikeyan M E3s Web of Conferences, 2025 The research focuses on improving the security and convenience of door access control systems through the integration of advanced fingerprint recognition technology with Arduino microcontrollers and the GSM module. The reliability and flexibility of Arduino, coupled with the GSM capabilities of SIM900, are utilized to create a robust and efficient solution. Fingerprints are captured and verified using a fingerprint sensor, ensuring precise and personalized access control. The Arduino board acts as the main controller, processing fingerprint data and enabling communication with the GSM module for remote operation. This innovative setup allows authorized users to remotely lock or unlock doors using their registered fingerprints. Key functionalities of the system include fingerprint enrollment, template matching, secure data transmission, and real-time status monitoring. During enrollment, fingerprints are registered and securely stored in the system’s database. Subsequent scans are matched against these stored templates to determine access. Secure and reliable communication is ensured through encrypted data transmission between the door lock system and users’ mobile devices, facilitated by the GSM module. By combining Arduino, fingerprint recognition, and GSM technology, the research provides an effective solution for enhancing door access control systems. The integration of biometric authentication with remote management features offers a secure and user-friendly method for access control, reducing the dependency on traditional keys or access cards. The research’s DIY and open-source approach encourages innovation and customization, promoting continuous improvement in access control technology within the maker community.
Smart Power Outlet with Monitoring and Recording System Rajalingam S, Kanagamalliga S, Vishwa P, Sathish Kumar M E3s Web of Conferences, 2025 High energy consumption leads to increased carbon emissions and environmental harm. Conserving energy helps lower the carbon footprint and reduces the adverse effects on the environment. It is important to recognize that the combined impact of plug loads can be substantial. Research indicates that plug loads can represent a significant portion of total energy consumption in both homes and commercial spaces. Estimates suggest that plug loads contribute to 5% to 20% of a household’s energy usage. This proposed project aims to develop a prototype of the Smart Power Extender, bridging the gap between traditional and next-generation extension boards. The project involves creating a Smart Power Outlet equipped with an advanced monitoring and recording system. The proposed system will measure and record parameters like power consumption, voltage, current, and overall energy use. The project’s objective is to boost energy efficiency, provide insights into electricity usage patterns, and offer enhanced control over power consumption. IoT technology is incorporated for remote monitoring and control. This Smart Power Outlet with Monitoring System has the potential to support affordable and clean energy initiatives.
Innovative Fire and Gas Recognition System Featuring Remote Monitoring and Automated Alerts S Kanagamalliga, S Rajalingam Procedia Computer Science, 2025 An advance safety system has been developed to effectively address the critical risks associated with fire and gas leakages in both industrial and residential environments. This advanced system integrates a range of sensors, including flame sensors, gas sensors, and temperature sensors, all connected to a microcontroller. The microcontroller is responsible for processing data from these sensors to continuously monitor and evaluate environmental conditions for any signs of fire or gas leaks. Upon recognizing an anomaly, the system activates an alert mechanism that includes displaying status updates on an LCD screen, sounding an audible alarm via a buzzer, and sending instant notifications through SMS via a GSM module to prompt immediate response. A key innovation of this system is its utilization of the Message Queuing Telemetry Transport (MQTT) protocol for cloud-based monitoring and data management. This protocol supports real-time data transmission and analysis through the Ubidots platform, facilitating efficient and reliable communication between the system and cloud services. The lightweight and efficient MQTT protocol ensures seamless remote monitoring and control, while the cloud integration allows for continuous data storage and detailed analysis. This combination of real-time monitoring, remote access, and advanced alerting mechanisms provides a comprehensive solution for hazard recognition and management, significantly enhancing safety by enabling prompt responses and safeguarding both lives and property.
Accurate Flight Delay Prediction Using Machine Learning Techniques Kore Srinija, Kundella Tharun, D Rohan, Rajalingam S, Hariharan Shanmugasundaram, Karuppiah Natarajan Proceedings of 2025 2nd International Conference on Cognitive Robotics and Intelligent Systems Icc Robins 2025, 2025
Securing the Web using URL based Analysis and Machine Learning Algorithms Gattu Manik Sai, Chekka Mukesh Babu, Y. Chandra Vamsi Karthik, Rajalingam S, Hariharan Shanmugasundaram, Karuppiah Natarajan Proceedings of 5th International Conference on Pervasive Computing and Social Networking Icpcsn 2025, 2025
Enhancing Energy Efficiency with a Smart Metering System Rajalingam S, Kanagamalliga S, Keerthiga G, Kamalesh K S, Harish E, S Gandhimathi Alias Usha Proceedings 3rd International Conference on Artificial Intelligence and Machine Learning Applications Healthcare and Internet of Things Aimla 2025, 2025
House Rent Prediction Using Machine Learning Approach K. Balaji, G. Anurag, Mohammed Nawaz, Rajalingam S., Shanmugasundaram Hariharan, Karuppiah Natarajan Proceedings of the 2025 International Conference on Technology Enabled Economic Changes Intech 2025, 2025
Compensation of reactive power and nonlinear loads for power quality improvement using DSTATCOM International Journal of Applied Engineering Research, 2015
Simple augmented current controller with OHC technique for grid current compensation in the distribution system International Journal of Engineering and Technology, 2014
