Journal of Science Engineering Technology and Management Science

In today’s world people have shifted their usage from fuel based vehicles to electric vehicles. A smart EV charging system is connected and intelligent network for electric vehicle charging that uses data to optimize energy use based on electricity prices, grid conditions and driver needs. It automates the charging process allowing users to simply set a desired departure time.It optimize charging speed and energy use based on user needs, tariff plans, and available power. Also it supports the transition to a greener transportation system by reducing the environmental impact if increased EV adoption. This is a miniature model of smart EV charging system that uses components like Arduino nano, wireless charging module for charging the vehicle. The history of EV cars dates back to the 19th century with early experiments by inventors like Robert Anderson. Electric cars gained popularity in the early 1900s but were surpassed by gasoline-powered cars due to the mass production of the affordable Ford Model T. Renewed interest emerged in the 1970s during oil crises, and later, in the 1990s, environmental regulations and technological advancements like lithium-ion batteries spurred a revival, most notably with the introduction of the Tesla Roadster in 2008. The core principles of an EV charging station using an Arduino focus on automation, safety, and control of the power transfer process. The Arduino acts as the central control unit, managing components such as sensors and relays to ensure efficient and safe charging, particularly in the context of low-power or prototype systems.

Keywords :

Author : Poonam Musmade, Snehal Shevade, Prakash Mali, Shubhdarshini Patil , Srushti Pawar , Shruti Pawar , Prachi P. Patil , Kartik Pawar

Title : SMART EV CHARGING SYSTEM

Volume/Issue : 2026;03(01)

Page No : 1-5

Climate change has intensified the need for reliable and intelligent climate monitoring systems capable of analyzing large and complex environmental datasets. Conventional monitoring approaches often struggle with data heterogeneity, limited automation, and weak forecasting capacity, which restrict their effectiveness in supporting climate-related decision-making. This study develops an AI-driven climate monitoring framework that brings together predictive modelling and optimisation methods within a unified analytical system. The framework employs machine learning and time-series prediction techniques to forecast temperature variations and emission patterns, while optimisation models are used to improve the efficiency and performance of monitoring and energy-related processes. The proposed approach is evaluated using climate datasets under an experimental setting, and the results indicate improvements in both prediction accuracy and operational efficiency when compared with baseline models. The study demonstrates how AI-enabled predictive and optimisation capabilities can strengthen climate monitoring practices and contribute to data-informed environmental planning and sustainability initiatives

Keywords : Artificial Intelligence; Climate Monitoring; Predictive Modelling; Optimisation Models; Machine Learning; Environmental Systems; Sustainability

Author : Kampelli Sridhar ,Cheluveru Sridhar

Title : AN AI-DRIVEN CLIMATE MONITORING FRAMEWORK BASED ON PREDICTIVE AND OPTIMIZATION MODELS

Volume/Issue : 2026;03(01)

Page No : 6-15

This paper discusses the development of a car seat alert system through telegram application to design and develop a car seat alert system for babies that have been left in vehicles and get heatstroke deaths. This type of accident is called vehicular heatstroke and it is very dangerous to a baby because their body overheats 3-5 times faster than an adult body. Plus, the inside of a vehicle is heating up very quickly and it very concerns parents to bring their child to travel using car. Nowadays, heatstroke deaths of children in vehicles are quite encouraging and every year the number of cases is increasing. In an overwhelming majority of child vehicular heatstroke deaths, it was loving, responsible parents that unknowingly left the child. This project was created to inform and alert the parents out there when they might forget their child is left under any circumstances. To make sure this project system is more practical, Node MCU Control all the input and output devices is used as a micro controller to in this system. As to alert parents when this carelessness is happening the alerts are provided in this system. Apart from that, LCD is used to display the presence of the child at the seat and temperature value inside. Temperature sensor module is used to sense the temperature of baby and alerts the parents if the temperature raises extremely. As to ensure the goals stated will be achieved, significant research has been made thoroughly that will act as references throughout these studies for this project

Keywords :

Author : G.SOUMYA, G.RISHITHA, G.VENKATESH, J.ADITHYA

Title : DEVELOPMENT OF CHILD SAFETY ALERT IN CAR

Volume/Issue : 2026;03(01)

Page No : 16-19

This study investigates the financial implications of carbon pricing exposure for Indian firms, focusing on accounting-based and market-based performance indicators. Using firm-level data from the ORBIS database for the period 2010–2023, we examine the relationship between carbon exposure, proxied by industry carbon intensity and energy cost shares, and firm profitability (Return on Assets), market valuation (Tobin’s Q), and stock market valuation. Employing fixed-effects panel regressions with robust standard errors, we find that carbon-intensive firms experience significantly lower profitability and market valuation, while non-carbon-intensive firms remain largely unaffected. The negative effects are more pronounced for market-based measures, indicating that investors actively price carbon-related regulatory and transition risks. Heterogeneity analyses confirm that the financial burden of carbon pricing is concentrated in carbon-intensive sectors, suggesting a reallocation rather than uniform decline in firm value. The results remain robust to alternative performance measures, lagged exposure, and industry exclusions. The findings highlight the importance of predictable carbon pricing pathways, credible carbon disclosure, and proactive low-carbon investment strategies for corporate managers. By providing the first large-scale, firm-level evidence from India, this study extends the literature on carbon pricing and financial performance in emerging economies and offers insights for policymakers and investors navigating the low-carbon transition.

Keywords : Carbon-intensive industries, emissions, ROA, stock market valuation, Tobin’s Q

Author : Savanam Chandra Sekhar

Title : CARBON PRICING AND FINANCIAL PERFORMANCE: EVIDENCE FROM INDIAN FIRMS

Volume/Issue : 2026;03(01)

Page No : 20-31

Nanotechnology has emerged as a transformative field that enables the manipulation of matter at the nanometer scale, where unique physical phenomena govern material behavior. Applied physics plays a crucial role in bridging fundamental nanoscale science with practical engineering applications. This review paper presents a comprehensive survey of the applications of nanotechnology in applied physics, focusing on nanomaterials, nanoelectronics, nanophotonics, energy systems, sensors, and emerging quantum technologies. A systematic literature review methodology was adopted, covering peer-reviewed journal articles published over the last decade. The reviewed studies demonstrate that nanotechnology significantly enhances electrical, optical, thermal, and mechanical properties, enabling high-performance devices with reduced size, weight, and power consumption. Despite substantial progress, challenges such as fabrication complexity, scalability, reliability, and environmental concerns remain critical barriers to large-scale adoption. This review identifies key research trends, compares major findings across application domains, and highlights existing research gaps. Finally, future directions are discussed, emphasizing sustainable nanomaterials, multi-physics modeling, and the integration of nanotechnology with intelligent systems. The paper aims to serve as a valuable reference for researchers, academicians, and practitioners working in applied physics and nanotechnology-driven systems.

Keywords : Nanotechnology, Applied Physics, Nanomaterials, Nanoelectronics, Nanophotonics, Energy Systems, Sensors, Quantum Devices

Author : CH. KALYANI,B. ABHISHEK RAJ,CHEKURI MAHITA,Y. KARTHIK

Title : A LITERATURE SURVEY ON APPLICATIONS OF NANOTECHNOLOGY IN APPLIED PHYSICS

Volume/Issue : 2026;03(01)

Page No : 32-40

With technological advancements, there is a growing need for machines that improve efficiency and reduce human effort. Cleaning classroom blackboards is a time-consuming task that interrupts teaching. This project introduces an automatic blackboard cleaner designed to minimize manual labor and save time. The system incorporates supporting rods, dusters, rollers, a motor, and simple electronics to erase boards effectively and quickly. Operating on a sliding door mechanism, the duster moves uniformly across the board to remove chalk dust. Additionally, the design includes a dust collection feature to maintain cleanliness. This automated device reduces physical strain on teachers and cuts cleaning time to less than half compared to manual methods. By simply activating a switch, the system performs board cleaning autonomously. Overall, the project highlights how mechanical and electronic integration can automate routine classroom tasks, enhancing teaching efficiency and the learning environment.

Keywords :

Author : Rajabhau Thombare ,Sachin Rahinj ,Poonam Musmade, Mamta jiwankar,Shrinath Mundada, Disha Shirsale, Shreya Ghatage, Soheb Pathan, Shree Saste

Title : BLACKBOARD CLEANING ROBOT

Volume/Issue : 2026;03(01)

Page No : 41-48

Women’s mobility is a critical determinant of economic participation, social inclusion, and overall empowerment. In Telangana, gendered barriers such as high transport costs, safety concerns, and limited access to public transit have historically constrained women’s freedom of movement. Recognizing mobility as a catalyst for gender equity, the Government of Telangana introduced a free bus travel policy for women, aimed at enhancing accessibility and promoting empowerment across social and economic spheres. This study critically examines the impact of free bus travel on women’s empowerment in Telangana, focusing on employment opportunities, educational access, healthcare utilization, and social autonomy. Utilizing a descriptive and analytical approach based on secondary data including government reports, policy documents, academic literature, and empirical studies the research highlights both the benefits and challenges of the initiative. Findings indicate that the policy has substantially reduced financial barriers, increased workforce participation, improved educational continuity, and strengthened social and psychological autonomy, particularly among low-income and rural women. Nevertheless, challenges such as overcrowding, safety risks, and service limitations remain. The study underscores that free public transportation constitutes a potent gender-responsive policy tool, whose long-term effectiveness relies on complementary infrastructure improvements, safety interventions, and sustained policy support. The study offers actionable insights for policymakers, urban planners, and public transport authorities aiming to design inclusive, gender-sensitive mobility solutions that empower women and promote equitable development.

Keywords : Women’s Mobility, Gender Empowerment, Public Transport Policy, Free Bus Travel, Telangana, Social Inclusion, Economic Participation, Gender-Responsive Policy

Author : Nagathota Snehalatha, Vanapaka Ravali

Title : WOMEN’S MOBILITY AS PUBLIC POLICY: ASSESSING THE EMPOWERMENT EFFECTS OF FREE BUS TRAVEL IN TELANGANA

Volume/Issue : 2026;03(01)

Page No : 49-58

This paper presents the design and implementation of a voice-controlled AI-based robotic system using Arduino and Bluetooth communication. The proposed system enables handsfree and wireless control of a mobile robot through voice commands issued from a smartphone application. Speech input is processed by the mobile application and transmitted to the robot via an HC-05 Bluetooth module. An Arduino microcontroller acts as the central control unit, interpreting the received commands and executing predefined actions such as forward, backward, left, and right movements. The robot also supports manual control through a mobile interface and incorporates live video monitoring using a webcam connected via a mobile application. Basic artificial intelligence logic is employed to ensure efficient command interpretation and response. The system is characterized by low power consumption, reliable communication, and ease of implementation. The proposed robot is suitable for applications including home automation assistance, surveillance, education, and support for elderly or physically challenged individuals. The results demonstrate effective integration of embedded systems, Bluetooth technology, and AI-based voice control for smart robotic applications

Keywords : Voice-Controlled Robot, Artificial Intelligence, Arduino UNO, Bluetooth Communication, HC-05 Module, Embedded Systems, Human–Robot Interaction, Mobile Application Control, Assistive Robotics

Author : Mr. K. Ramakrishna Prasad,Mr. J. Kanthaiah,SK. Raheemath Pasha,M. Meghana,CH. Chandu,B. Ramdas

Title : VOICE CONTROLLED AI ROBOT

Volume/Issue : 2026;03(01)

Page No : 59-68