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Research Paper

Design of Water and Oxygen Extraction From Atmospheric Air and Microalgae

The purpose of this study is to develop a low-energy for water generation and Spirulina microalgae cultivation. The integrated model was designed to perform three main functions: use condensation and dehumidification to draw out water from ambient air, utilizing the water that was extracted, and cultivate Spiriola spp. The system integrates sensors and IOT system to monitor air quality, manage purification processes, and optimize water and oxygen production. The research methodology study involves installing an end-open tube collector, sensors, and operating the system to collect and collect the data from air-to-water conversion efficiency under varying conditions. The study involves designing a solar-powered system with a desiccant wheel, developing theoretical models to predict performance, and validating these models through experimental testing and data analysis. The IOT data confirmed stable environmental factors such as 78% humidity, pH around 7.5, and oxygen concentration near 20.90%, validating the system's sustainability and effectiveness. The results of the study are that the integrated model is a high-efficiency, low-power, and renewable method suitable for urban and semi-urban environments.

Published by: Ashish Kondekar, Sujit V. Andhare, Srushti D. Jadhav, Tanay N. Jane, Vishwajit T. Shinde, Sakshi V. Bhavar

Author: Ashish Kondekar

Paper ID: V11I3-1312

Paper Status: published

Published: June 8, 2025

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Research Paper

The Evolution and Innovations of Wes Montgomery

This research paper looks at the impact Wes Montgomery had on jazz music as well as its eventual commercialism. It also interrogates his technique(s), the theory behind his music, one of his most recognizable and most notable albums, as well as the variety of genres that he played in and that influenced his career.

Published by: Vihaan Venkatesh

Author: Vihaan Venkatesh

Paper ID: V11I3-1300

Paper Status: published

Published: June 7, 2025

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Research Paper

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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