Category Archives: Uncategorized

J.A.R.V.I.S: AI ASSISTANT
Authors:-Bhuneshwar Singh Chauhan, Swati Kumari, D Sai Divya Reddy, Dhananjay Sahu, Professor Neha Soni

Abstract-:This paper examines the rapidly evolving field of modern technology, with a particular focus on virtual assistants developed through Python. It shows how it changes these assistants are having on human-computer interactions by using advanced technologies such as Natural Language Processing (NLP) and Artificial Intelligence (AI). The literature review consolidates key research findings on the functions, capabilities, and design strategies of virtual assistants. In the system architecture section, a clear structure is presented for desktop virtual assistants, detailing key components like the user interface, speech recognition modules, dialogue management, and more. The methodology section outlines a structured approach to designing and building such systems. The conclusion emphasizes the significant advancements in virtual assistant technology while also addressing ongoing challenges such as ensuring system stability and safeguarding data security. Ultimately, the paper underscores the importance of continued innovation in this field to fully unlock the potential of virtual assistants in various industries.

DOI: 10.61137/ijsret.vol.11.issue2.455

Published by: Kajal Tripathi

CFD Analysis on Car Rear Spoiler
Authors:-Turlapati Siva Krishna, M. Hari Sai, K. Naresh

Abstract-:The stability of a car refers to its ability to maintain its trajectory and resist external disturbances, such as wind, road irregularities, or sudden maneuvers. Several key factors affect a car’s stability, including its center of gravity, weight distribution, suspension system, tire characteristics, and aerodynamics. A spoiler is an aerodynamic device attached to a vehicle, typically on the rear deck lid or trunk, designed to improve its stability and reduce drag at high speeds. By altering airflow around the vehicle, a spoiler can enhance its overall performance and handling. There are various types of spoilers, including rear spoilers, front spoilers, and side skirts, each serving a specific purpose. The benefits of spoilers include improved stability, reduced drag, and enhanced performance, making them a popular choice for racing cars, high-performance vehicles, and aftermarket accessories.

DOI: 10.61137/ijsret.vol.11.issue2.454

Published by: Kajal Tripathi

Application of Carbon Nanomaterials in Energy Production and Storage
Authors:-Aryan Kuhar

Abstract-:In this modern world the demand for more sustainable energy production and storage solutions has elevated the interest in nanotechnology, in which carbon-based nanomaterials are particularly interesting in improving energy production systems. This review paper explores the application of carbon nanomaterials, including nanomaterials like carbon nanotubes (CNTs), graphene, fullerene etc., in many energy production methods. Their unique properties such as large surface area, high electrical conductivity and high mechanical strength, make these carbon nanomaterials optimal candidates for improving energy storage and generation processes. In energy devices such as lithium-ion batteries, solar cells and fuel cells, these carbon nanomaterials have demonstrated improvement in better charge transport, energy density, catalytic performance and charge/discharge efficiency. These nanomaterials are also developed so there are more cost-effective alternatives to current technology.

DOI: 10.61137/ijsret.vol.11.issue2.453

Published by: Kajal Tripathi

A Supervised Learning Framework for Predicting GSC Antibody Seropositivity in Guillain–Barré Syndrome Using Multivariate Clinical and Demographic Indicators
Authors:-Ms. Sangeetha Raj S, Ayushi Negi, Ekta Kumari, Christina S

Abstract-:This paper proposes a robust supervised learning framework for predicting ganglioside complex (GSC) antibody seropositivity in patients with Guillain–Barré Syndrome (GBS) using multivariate clinical and demographic features. Drawing from a comprehensive dataset encompassing 129 GBS patients, we employed advanced machine learning methods support vector machines, random forests, decision trees, and k-nearest neighbours to predict seropositivity for six key anti-ganglioside antibodies (GM1, GM2, GD1a, GD1b, GT1b, GQ1b). Rigorous feature selection, cross-validation, and class imbalance handling were implemented to ensure robustness. Results show that routine clinical data can deliver accurate antibody seropositivity predictions, supporting GBS management where serological assays are delayed or unavailable.

DOI: 10.61137/ijsret.vol.11.issue2.452

Published by: Kajal Tripathi

Smart Vehicle Accident Detection and Anti-Theft System
Authors:-Shaikh Mubashshir, Mohammad Zafir, Hrutuja Ingole, Professor A. P. Jaware

Abstract-:The rapid advancement of technology has transformed transportation but has also escalated challenges like road accidents and vehicle theft. This paper presents a smart system integrating accident detection and anti-theft mechanisms using piezoelectric sensors, GPS, GSM, and fingerprint verification technologies. The accident detection module employs a piezoelectric sensor to identify crashes or rollovers, instantly transmitting the vehicle’s location to emergency contacts via GSM and GPS modules. The anti-theft system uses fingerprint authentication to ensure only authorized users can operate the vehicle, with real-time tracking and remote immobilization capabilities. This dual-purpose system enhances road safety by reducing emergency response times and strengthens vehicle security against theft. Designed for scalability, the system leverages Arduino as the central microcontroller, offering a cost effective and reliable solution for modern vehicles. This paper details the system’s design, implementation, and potential impact on automotive safety and security.

DOI: 10.61137/ijsret.vol.11.issue2.451

Published by: Kajal Tripathi

A Smart Reverse Vending Machine for Plastic Bottles
Authors:-Assistant Professor V. Srinivas Rao, Narla Sai Kiran, Rajarapu Pavan Jagadeesh, Sanagapalli Madhav, Sarikonda Mahendra Sai, Sariki Appalanaidu

Abstract-:The exponential rise in plastic waste, particularly from single-use PET bottles, presents a critical challenge to environmental sustainability. Conventional recycling approaches are often hindered by inconvenient manual processes, limiting public engagement. To counter this, the proposed Smart Reverse Vending Machine (RVM) offers an automated, user-friendly solution for the collection and preliminary sorting of plastic bottles. The system employs an Arduino Uno microcontroller, an IR sensor, and a load cell with HX711 amplifier to detect, validate, and weigh deposited bottles. In exchange, users receive immediate incentives such as coins, fostering responsible waste disposal habits. Designed with affordability and scalability in mind, this compact system is ideal for installation in high-traffic areas like malls, transport hubs, and educational campuses. The initiative aims to enhance recycling participation through real-time rewards and minimal operational complexity. Potential future enhancements include IoT connectivity, AI-based recognition, and digital rewards, positioning the system as a smart and sustainable waste management solution.

DOI: 10.61137/ijsret.vol.11.issue2.450

Published by: Kajal Tripathi

Sign Language to Voice Translator
Authors:-B. Sai Praneetha, Dyanesh R, M. Praniksha, Sanjai R J, Professor Dr. Ajay Kumar Singh

Abstract-:One area of assistive technology that is gaining popularity is its capacity to facilitate communication between people with hearing impairments and the general public. This research introduces a real-time sign language detection system that uses a single webcam to recognize the alphabet in American Sign Language (ASL) and interpret numerical gestures. Based on hand landmarks recorded by MediaPipe, the system recognizes ASL alphabets with high accuracy and recognizes digits from 1 to 10 using deep learning, computer vision, and language processing algorithms. The suggested solution combines OpenCV and MediaPipe for landmark tracking, pyttsx3 for speech feedback, and a user-friendly graphical user interface created using Tkinter. TensorFlow is used to train the alphabet identification model, while landmark distance computations and geometric logic is used to distinguish numerical movements. Because this hybrid approach guarantees real-time speed and usability, the solution is feasible for applications that are focused on accessibility, education, and assistive technology.

DOI: 10.61137/ijsret.vol.11.issue2.449

Published by: Kajal Tripathi

Customer Relationship Management: Digital Transformation and Sustainable Business Model Innovation
Authors:-Budankayala Dharani, Enti Harshni Rao, Chanchal Agrawal, Dr. Siddharth Choubey

Abstract-:This paper proposes a research model to analyze how Customer Relationship Management (CRM) enhances small and medium enterprises (SMEs) through customer knowledge management (CKM) and innovation. CRM is explored as both a technological tool and strategic philosophy, contributing to sustainable business model innovation across economic, environmental, and social dimensions. By integrating CRM’s sales, marketing, and service components, the study identifies CRM as a dual driver of exploitation and exploration strategies. The proposed model addresses gaps in linking CRM with sustainability, offering hypotheses to evaluate CRM’s role as a green IT solution promoting digital transformation and long-term business sustainability.

DOI: 10.61137/ijsret.vol.11.issue2.448

Published by: Kajal Tripathi

Smart Gate Automation Using License Plate Recognition
Authors:-Assistant Professor Malempati Srinivas, Shaik Nagur Sharief, Nelapati Venkatesh, Tandra Naga Siva Sai, Shaik Ashik Taharuk

Abstract-:This paper presents a License Plate Recognition-Based Automatic Gate Opening System designed to automate vehicle access control and enhance security. The system captures vehicle license plates using a high-resolution camera, processes the images with optical character recognition (OCR), and verifies the extracted data against a database of authorized vehicles. Upon verification, the gate opens automatically; unauthorized vehicles are denied access and may trigger alerts. Machine learning and deep learning models ensure high accuracy under varying environmental conditions. Integrated with IoT for real-time communication and optionally with cloud computing for scalability, the system is ideal for residential, commercial, and smart city applications.

DOI: 10.61137/ijsret.vol.11.issue2.447

Published by: Kajal Tripathi

Examining the Impact of Data Imbalance on the Effectiveness of the Proposed Algorithm for Real-Time Prediction of Heart Disease and Suggesting Solutions
Authors:-Pragathi, Sneha Ghode, Nisha Hebbar, Bhoomika Surendra Naik, Professor Dr. Lokesh M R

Abstract-:The main goal of this review paper is to describe the impact that data imbalance has on the Prophet algorithm’s ability to accurately predict heart disease in real time and offer solutions for these effects. This case study of a mobile health illness management software includes three modules: User, Admin, and Doctor. ECG data is available to registered users, but they must also upload it in csv format so that the Prophet program, which generates educational reports, can further analyze it. The credibility of the predictions may be impacted by this biased data or noise, which could impair the model’s performance and lead to biases in its output. This review highlights some issues with the problem of imbalanced data, makes an effort to gather data and knowledge from the literature that is currently available, and offers some tactics that could be helpful in resolving such problems, including algorithm modification, data resampling, and synthetic data. The article concludes by discussing the application’s potential to improve heart disease early detection and streamline interactions between medical professionals and patients. Because it deals with healthcare quality, this review first offers a framework for future research on mobile health technologies and emphasizes the idea of addressing data imbalance in data-driven models.

DOI: 10.61137/ijsret.vol.11.issue2.446

Published by: Kajal Tripathi