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AcuTutor :An AI-Driven Personalized Learning Platform for Accelerated Cognitive Development

As education decreasingly emphasizes personalization, the demand for adaptive learning systems that cater to each pupil's unique requirements has grown. AcuTutor is an AI-powered training platform designed to provide customized support across various subjects and skill levels.

Published by: Satyom Mitra, Dr. Goldi Soni, Mansi Tiwari, Alok Kumar, Md Kamil, Kushgra Singh

Author: Satyom Mitra

Paper ID: V11I3-1314

Paper Status: published

Published: June 7, 2025

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Research Paper

A Study on Advanced Charging Modules for Electric Vehicles: DC Fast and Wireless Technologies

As electric vehicles (EVs) become increasingly prevalent, the need for advanced, efficient, and flexible EV charging infrastructure is critical. This research explores various charging modules for modern EV charging stations, focusing on DC Fast Charging (DCFC), wireless charging, and renewable energy integration. The study presents a comparative analysis of these technologies and proposes a hybrid charging station design that integrates on-grid and green power sources with both wired and wireless charging capabilities. DCFC enables rapid charging through high-voltage DC output, suitable for urban and highway deployment, while wireless charging offers contactless energy transfer for low-speed and idle-state scenarios. The system also incorporates smart control logic for energy management and dynamic source prioritization, ensuring sustainability, user convenience, and grid efficiency. This paper aims to contribute to the design and deployment of versatile and future-proof EV charging infrastructure aligned with global decarbonization goals.

Published by: Vivek, Aditi Prashant Ozardekar, Varsha V. Nanavare

Author: Vivek

Paper ID: V11I3-1297

Paper Status: published

Published: June 6, 2025

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Research Paper

OpenXploit: An Automated Approach to Vulnerability Assessment and Penetration Testing

Vulnerability assessment (VA) and penetration testing (Pen-Test) are required for security auditing and compliance. Converting VA scan results to be usable in Pen-Test tools is difficult because it must be done at various stages using software tools. This paper describes a system that automatically converts Open Vulnerability Assessment Scanner results into exploitable scripts for Metasploit, an open-source pen-testing program. It targets the top ten vulnerabilities identified by the Open Web Application Security Project and tests them with Metasploit. The system consists of three major components: Scan Result Extraction, which extracts VA scan results related to OWASP 10 vulnerabilities; Target List Repository, which stores vulnerability lists for Metasploit; and Automated Shell Scripts Exploitation, which generates scripts to render the exploit module for execution in Metasploit. The prototype was tested with a variety of scenarios, converting scan results to shell code and rendering them in Metasploit. The experimental results confirmed that the system was functionally correct across all test cases.

Published by: Manav Agarwal, Shrushti Patil, Dr. Suvarna Patil, Mrs. Sneha Kanawade

Author: Manav Agarwal

Paper ID: V11I3-1303

Paper Status: published

Published: June 6, 2025

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Research Paper

Vision Assist System Using Deep Learning For Product And Text Recognition For Blind People

For blind persons it is very essential to recognize a product of their daily use so we implied a method to identify product in their everyday routine by use of camera. To separate an object from un-necessary background, movement-based technique is used to spot object of concern from the camera by instructing person about recognized objects. The goal of the present project is to model an object detector to detect objects for visually impaired people and other commercial purposes by recognizing the objects at a particular distance. Available old techniques for object detection needed large training data it takes more time and it’s quite complicated and it’s a difficult task. Object detection is used in many scenarios. Conventional methods of these object detection depend on huge number of datasets and it also takes large amount of time to train these data. Training of small or unseen objects is a more challenging task. Human brains and visual systems are more accurate and faster in detecting objects in real time and has conscious thoughts in detecting obstacles. Due to the availability of large amount of data and with more advanced technologies and better working algorithms, classification and detection of multiple objects in the same frame has become easy with high accuracy. The main objective of the project is to design and implement a real time object recognition using real time camera with navigation system. And also using implement text detection and recognition system to extract the text from captured image using Optical character recognition algorithm. We can implement the system in real time environment using Python as front end.

Published by: Vijaya Lakshmi S, Madhu Varshini B, Kokila R

Author: Vijaya Lakshmi S

Paper ID: V11I3-1304

Paper Status: published

Published: June 6, 2025

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Research Paper

Re-Imagining Emergency Response System with Geo Fencing

Despite the existence of emergency hotlines, many distress calls go unanswered, leaving individuals in urgent need without timely assistance. This study proposes a system designed to enhance the speed and reliability of Emergency Response Services(ERS). By integrating advanced technologies such as signal triangulation, Geo-fencing, Geo-location, predictive AI, and Geo data analytics, the system aims to provide more accurate and faster responses. The approach works within India’s current governance framework and collaborates with community networks to improve safety, particularly for vulnerable groups like women and children. The proposed system’s objectives include reducing the response time for emergency services, ensuring that help reaches those in need quickly, and strengthening overall crisis management. By leveraging predictive AI and Geo data, it optimizes response times. This study presents an innovative solution for improving emergency services, making them more inclusive, effective, and contributing to the overall safety of communities.

Published by: Aryav Goyal, Isha Goel

Author: Aryav Goyal

Paper ID: V11I3-1290

Paper Status: published

Published: June 5, 2025

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Research Paper

Cyber Warfare: Conflicts and Role of Security in the Digital Age

This research paper looks at a brand new evolving form of warfare, “ cyber warfare”.The main focus is primarily on the internal and external notions of security and emphasises how cybersecurity affects both. Various examples have been taken up to demonstrate how cyber terrorism has created havoc all over the world. An in-depth analysis of the development of international laws was conducted.

Published by: Vanshika Rao

Author: Vanshika Rao

Paper ID: V11I3-1288

Paper Status: published

Published: June 3, 2025

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