Understanding Streaming Success Through Spotify Analytics

Authors: Ure Sanath Kumar, Borkar Srikanth, Erukonda Mohan Manoj, Dr. Diana Moses

 

 

Abstract: The Top Spotify Songs in 73 Countries dataset provides a dynamic overview of global music trends by tracking the most popular songs across 73 countries daily. It includes key attributes such as song rank, track name, artist name, country, stream count, and ranking date, allowing for in-depth analysis of song popularity. Additionally, it contains song characteristics like danceability, energy, loudness, and valence, offering insights into musical trends and listener preferences. This dataset is particularly useful for music analysts, data scientists, and researchers aiming to explore streaming patterns, predict music trends, and analyze regional differences in music consumption. It can be leveraged for data visualization, trend analysis, machine learning models, and recommendation systems. Furthermore, businesses in the music industry can utilize this dataset to gain insights into audience preferences and optimize marketing strategies.

 

 

 

Published by: vikaspatanker

Authors: Subasree S, Dhanusree R S

 

Abstract: Speech Emotion Recognition (SER) stands as a transformative component within the field of affective computing, offering immense potential in domains such as mental health assessment, intelligent virtual assistants, human-robot interaction, and personalized customer service. This study introduces an advanced SER framework powered by a Long Short-Term Memory (LSTM) deep learning model, designed to accurately identify emotional states embedded in vocal expressions. By capturing and analyzing temporal dynamics in speech, the system effectively distinguishes emotions such as happiness, sadness, anger, and neutrality. The architecture processes both uploaded and live-recorded audio inputs, utilizing Mel-Frequency Cepstral Coefficients (MFCC) for feature extraction—one of the most reliable techniques for capturing relevant speech characteristics. A user-friendly interface, built using Streamlit, provides real-time interaction and feedback, making the system accessible for non-technical users. Furthermore, this solution uniquely incorporates the ability to detect emotional cues from animal sounds, expanding its scope beyond human applications. The project emphasizes performance, responsiveness, and practical integration into real-world applications, enhancing user engagement through visual output and immediate emotion recognition results.

 

 

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Formulation and Evaluation of an Iron Rich Functional Beverage: The Development of Berry Blast Golisoda
Authors:-J.Pradeep, Dr. A. Swaroopa Rani1, P. Jaideep Reddy

Abstract-:This study focuses on formulating and evaluating “Berry Blast goliSoda,” an iron-rich functional beverage aimed at combating iron deficiency in young adults. Made from beetroot, pomegranate, and strawberry extracts, along with ferrous gluconate, the drink offers a natural source of iron, vitamin C, and antioxidants. Natural carbonation enhances its sensory appeal. The optimized formulation was assessed for physicochemical properties, iron content, antioxidant activity, microbial safety, and sensory acceptability. Results showed high iron bioavailability, good stability, and favorable sensory scores, highlighting its potential as a nutritious and appealing health beverage.

DOI: 10.61137/ijsret.vol.11.issue3.107

Published by: Kajal Tripathi

Design Modification of Voice Controlled Air Purifier with Sleeping AID
Authors:-Aditya Anand, Dr. A. J. Keche, Leena Bhandari, Mohini Gulve

Abstract-:Indoor air quality is often more polluted than outdoor air, posing serious health risks such as asthma, bronchitis, and cardiovascular diseases. In response to this growing concern, a low-cost, voice-controlled air purification system integrated with a sleeping aid was developed. The system focuses on reducing carbon dioxide levels using UV-based breakdown and employs HEPA filtration to remove particulate pollutants. Critical components such as the Arduino UNO, MQ-135 gas sensor, Dust sensor, Bluetooth module, and HEPA filter are utilized for real-time monitoring and filtration. A comparative study between existing systems and the proposed prototype demonstrated significant improvements in air quality, efficiency, and user convenience. The project aims to combine effective air purification with smart home integration, providing both health benefits and enhanced lifestyle comfort.

DOI: 10.61137/ijsret.vol.11.issue3.107

Published by: vikaspatanker

Intelligent Networking AI-Driven Optimization in 6g Communication Systems

Authors: Prithik R, Sukumar P

Abstract: As we approach the era of 6G, communication networks are evolving beyond traditional capabilities to become context-aware, self-healing, and intelligent. This paper explores the integration of Artificial Intelligence (AI) in next- generation communication systems, focusing on intelligent routing, dynamic bandwidth allocation, and latency minimization. We present a prototype model that employs reinforcement learning to optimize real-time traffic flow and network congestion in ultra-dense urban environments. The study also highlights key challenges in AI-network integration, including energy efficiency, data privacy, and interoperability. This framework aims to pave the way for seamless, high-speed, and intelligent global connectivity.

 

 

Published by: vikaspatanker

Authors: Author 1, Author 2, Author 3, Author 4

Abstract: Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source. Lorem Ipsum comes from sections 1.10.32 and 1.10.33 of "de Finibus Bonorum et Malorum" (The Extremes of Good and Evil) by Cicero, written in 45 BC. This book is a treatise on the theory of ethics, very popular during the Renaissance. The first line of Lorem Ipsum, "Lorem ipsum dolor sit amet.

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Published by: vikaspatanker

Analysis of Thermal Performance of 3D Model Solar Photovoltaic Panel
Authors:-Assistant Professor Mr. T. Siva Krishna, K. Yesu Raju, M. Vinay Kumar, G. Dattu Babu Rao, J. Sushwanth

Abstract-:Solar panels have become a cornerstone of modern renewable energy systems, offering a clean and sustainable alternative to fossil fuels. With increasing demand for green power, photovoltaic (PV) technology is now widely used in residential, commercial, and industrial sectors. However, the efficiency of solar panels is heavily influenced by their operating temperature, which highlights the need for efficient thermal management systems. This project aims to investigate the thermal behaviour of solar panels with different photovoltaic cell materials—including Silicon, Gallium Arsenide, Cadmium Telluride, and Perovskites—under varying fin thicknesses (3mm, 5mm, and 7mm) using ANSYS Workbench. A detailed finite element thermal analysis was carried out to simulate real-time solar heating conditions. Aluminium fins were incorporated to enhance heat dissipation via passive cooling. Convective and radiative losses were modelled accurately to simulate realistic boundary conditions. To assess the influence of computational accuracy, simulations were performed with two mesh sizes: 0.1mm and 0.05mm. The finer mesh (0.05 mm) revealed more precise temperature gradients and improved resolution in hotspot identification across different materials and fin configurations. Overall, the study provides valuable insights for optimizing passive cooling systems for solar panels and demonstrates how simulation can guide the material and design selection process for better thermal performance and reliability.

DOI: 10.61137/ijsret.vol.11.issue3.106

Published by: Kajal Tripathi

Crash Analysis Using Regression Model in Kollam District
Authors:-Assistant Professor Niranjini Shibu, Assistant Professor Sameena A

Abstract-:Rapid population expansion and rising economic activity have led to an enormous increase in motor vehicles, which is one of the main causes of an increase in road accidents in many major cities. In this paper, four factors are taken into account while evaluating the degree of road safety in Karunagapally, Kollam District. The factors considered are accident severity index, accident fatality rate, accident risk and accident risk. The data set for six years (2017 to 2022) is brought from “Police Department”. And also, Regression-based data analysis carried out to foresee the likelihood of accidents in a given environment. As a result, there is or should be a close relationship between crash investigation, data collection and analysis, and the creation and evaluation of viable countermeasures. Finally, it is critical that the study results are shared to those who are involved in implementing countermeasures and preventive programs.

DOI: 10.61137/ijsret.vol.11.issue3.105

Published by: Kajal Tripathi

Trafine- Smart Traffic Fine Management System
Authors:-Kripa Shankar Pathak, Tanvi Singh, Shivani Yadav, Rishu Kumari

Abstract-:The rapid rise in urban traffic has heightened the necessity for effective and clear systems to manage traffic violations. Conventional approaches to issuing and managing traffic fines are frequently hindered by inefficiencies, human error, delays, and a lack of accountability. This paper presents a Smart Traffic Fine Management System (STFMS) that utilizes cutting-edge technologies such as the Internet of Things (IoT), image processing, cloud computing, and real-time data analytics to automate the identification, documentation, and penalization of traffic infractions. The system combines traffic surveillance cameras with license plate recognition, violation detection algorithms, and a centralized database to issue fines immediately. It also features an intuitive mobile and web interface that allows drivers to view, contest, or pay their fines securely. By automating the complete process of traffic fine management, the proposed system improves transparency, minimizes corruption, and ensures prompt enforcement of traffic regulations, ultimately leading to safer and more orderly road usage. Consequently, individuals are unable to complete the necessary tasks on schedule, resulting in a waste of both time and effort. Additionally, vehicle owners sometimes neglect to bring their licenses and other required documents during inspections. To address these issues, it’s essential to consolidate all vehicle and driver information into a centralized database managed by the chief director of the RTO.

DOI: 10.61137/ijsret.vol.11.issue3.104

Published by: Kajal Tripathi

Development of a Motor Control Board Using KiCad: From Schematic to Fabrication
Authors:-T Manoj Nandan, Associate Professor Dr. Pavithra G, Associate Professor Dr. Swapnil SN

Abstract-:This paper presents the comprehensive development of a motor control printed circuit board (PCB) utilizing the open-source KiCad Electronic Design Automation (EDA) tool. The study outlines the complete design cycle including schematic creation, PCB layout, electrical rule checks, and fabrication file generation. A DC motor control application is selected as the case study to illustrate the process. The project emphasizes the practicality, accessibility, and educational potential of using KiCad in academic and hobbyist environments.

DOI: 10.61137/ijsret.vol.11.issue3.103

Published by: Kajal Tripathi