Daily Archives: May 9, 2025

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

AlCon: A Lightweight Alumni Connect Portal Using Flask and MySQL
Authors:-Assistant Professor Suraj Kumar B P, Mehul Chandak, Nancy Oinam, Abhishek Thakur, Atharv Agrawal

Abstract-:AlCon is a minimalist alumni portal designed to facilitate efficient and secure interaction between academic in- stitutions and their alumni communities. The platform aims to bridge the gap between alumni and their alma mater through a centralized digital interface that supports scalable and responsive engagement. The system is built using a lightweight technology stack, featuring a responsive frontend developed with HTML5 and TailwindCSS, a Flask-based backend architecture, and a MySQL relational database for structured data persistence. One of the core components of the system is the imple- mentation of JWT (JSON Web Token) authentication, which provides a stateless and secure mechanism for managing user sessions and access control. The frontend incorporates responsive alumni profile cards and dynamic interface elements to ensure a consistent user experience across different screen sizes and devices. Backend functionality includes optimized CRUD (Create, Read, Update, Delete) operations that interact with the database through modular APIs, enhancing maintainability and perfor- mance. The system was subjected to a series of functional and non-functional tests to assess its performance, usability, and robustness. These evaluations demonstrated reliable responsive- ness under various simulated usage conditions, validating the efficiency of both the data flow and the UI rendering mechanisms. Error handling and input validation were also incorporated throughout the application to ensure data integrity and system stability. AlCon stands as a practical and extensible solution for institutions seeking a streamlined approach to alumni data management and engagement. Its modular design allows for future enhancements, such as integration with external services, analytics dashboards, or communication modules. The project’s focus on minimalism, responsiveness, and security highlights its potential as a foundation for more complex alumni management systems in educational ecosystems.

DOI: 10.61137/ijsret.vol.11.issue2.445

Published by: Kajal Tripathi

Blockchain-Based Voting Systems: Ensuring Transparent, Secure, and Trustworthy Elections in the Digital Era
Authors:-Ibrahim Khalil Ahmad, Mohamed Abas Ali, Syed Arshad Ali, Sharik Ahmad

Abstract-:Blockchain technology provides a decentralized, transparent, and immutable infrastructure capable of revolutionizing electoral systems. This paper investigates the application of blockchain in voting systems, focusing on its potential to enhance election security, voter privacy, and trust. Key features such as smart contracts, cryptographic anonymity, and tamper-proof ledgers offer promising solutions to electoral fraud, vote tampering, and voter suppression. However, adoption is hindered by scalability limitations, legal barriers, and accessibility concerns. The study concludes that integrating blockchain with biometric authentication and regulatory oversight can pave the way for secure and verifiable electronic voting systems.

DOI: 10.61137/ijsret.vol.11.issue2.444

Published by: Kajal Tripathi