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Item MAGNETIC LEVITATION TECHNOLOGY(2025) MOHAMMAD FARHAT KHAN-1NH21ME043; KARAN G LOKRE-1NH21ME033Magnetic Levitation (Maglev) technology represents a breakthrough in transportation systems by using magnetic fields to lift and propel vehicles, eliminating the need for traditional wheels and reducing friction. This innovative concept allows for higher speeds, smoother rides, and greater efficiency, making it a promising technology for future transport solutions. The purpose of this project is to develop a simplified model that demonstrates the principles of Maglev technology using readily available components. In this project, a small-scale Maglev train is constructed, with a set of square-shaped magnets serving as the track and a basic box functioning as the train. The system utilizes the magnetic repulsion between like poles of the magnets to levitate the train, suspending it above the track without direct contact. To facilitate movement along the track, two 6V toy motors are used to propel the train, with power supplied through a 2-channel 5V relay module. The core of the project is an Arduino Uno (CH340) microcontroller, which coordinates the operation of the train. The Arduino controls the motors and the relay module, ensuring the train moves smoothly along the track. A sensor is employed to monitor the position of the train, enabling automatic adjustments to maintain stable levitation. By adjusting the speed of the motors, the system ensures that the train stays at the optimal height above the track and moves at a controlled pace.Item Design and Development of Autonomous Vehicle for In-Campus Logistics(2025) Mohammed Huzaifa 1NH22ME408; Mohammad Yousuf 1NH22ME407; Adith Sanjay 1NH21EC010; Aseel Javeed 1NH21EC024The vehicle relies on barcodes strategically placed along its predefined route to obtain positional and directional information. The barcode scanner reads these markers, allowing the onboard algorithm to interpret and determine the next navigational step. This eliminates the need for complex GPS systems and ensures high precision, even in environments with limited satellite connectivity. Complementing this, the integrated camera system provides real-time obstacle detection and path verification. By fusing data from both systems, the vehicle achieves robust and dynamic navigation, maintaining its reliability even in unpredictable scenarios. This autonomous delivery system is designed to cater to various logistics tasks within campuses, such as delivering parcels, documents, or food. It prioritizes safety, efficiency, and scalability, enabling operations in diverse campus settings with minimal human intervention. The system is energy-efficient, leveraging electric power to align with sustainability goals while reducing operational cosItem SENSOR FUSION IN SMART GUIDE STICKS FOR OBSTACLE DETECTION AND HAZARD AVOIDANCE(2025) SANA AHSAN -1NH21ME064; SHAHZADA NAIMAAN-1NH21ME068; SAHIL REHMAN KHAN -1NH22CE405; SIMRAN JAN-1NH22CE406Item Implementation and Analysis of Smart Grass Cutter using AI Technique(2025) JASON KASTURI-1NH21ME025; JOEL PRITHVI RAJ-1NH21ME024; ACHINTH H S - 1NH21EE005; AGRATHA N - 1NH21EE011Traditional grass cutters, such as manual lawnmowers and gasoline-powered models, have long been used for maintaining lawns and gardens. Manual lawnmowers require physical exertion to push and operate, while gasoline-powered models rely on fossil fuels for operation, contributing to emissions and environmental impact. These traditional methods often involve significant manual labor, can be less efficient in navigating complex terrains, and may not always provide the precision and consistency of modern, AI-powered solutions. By using AI technology, Smart grass cutters are becoming increasingly necessary due to the growing demand for efficient and sustainable lawn care solutions. These innovative devices offer a range of benefits, including time and labor savings, enhanced convenience, improved safety, environmental sustainability, enhanced lawn quality, and accessibility for all. By automating the mowing process, reducing reliance on fossil fuels, and providing precise cutting capabilities, smart grass cutters offer a more efficient, convenient, and environmentally friendly approach to maintaining a well-kept lawn.Item AGRI – SMART 2.0(2025) NAGAPRASAD HS – 1NH21ME048; THARUN B – 1NH21ME077; AKASH S CHERIAN – 1NH21IS012; ASHIMA PRASAD – 1NH21IS029The field of agriculture, which has been providing the foundation for human existence and economic security, increasingly faces a host of daunting problems, such as inefficient utilization of water, labor deficiencies, and inability to notice crop diseases in their very early stages. These concerns call for innovative solutions toward maintaining agricultural productivity while reducing resource utilization. Agri-Smart 1.0 is a web-based smart irrigation and crop monitoring system that seems to answer these challenges comprehensively and through advanced automation. Technologies, wireless control mechanisms, and artificial intelligence for enhancing the optimization of farming practice. This project is a step forward for the digital transformation of agriculture with the aim of promoting productivity and resource efficiency.Item HYBRID SOLAR- POWERED ELECTRIC VEHICLE(2025) S SANJAY SREE VARSHAN-1NH21ME065; RAGHUNANDA K S-1NH22EE410; JAYASOURYA U -1NH22EE402; S SUHEL AHMED-1NH22EE409The growing need for more sustainable transportation options has placed hybrid solar electric vehicles, or HSEVs, at the top of the energy-efficient mobility innovation scenario. This introduces an advanced model of an HSEV with a high-efficiency electric motor, photovoltaic power generation systems, and regenerative braking systems to address major technological challenges in energy management and emission reduction. The model features a dual-battery configuration intended to enhance energy efficiency, with one battery supplying power to the motor and the other recharging via solar panels and regenerative braking mechanisms. The proposed system controls energy flow dynamically by utilizing real-time control algorithms that target constant performance under any conditions of driving. With solar as a green source of energy, the dependency on grid-based charging has been very much reduced, and chances of successful long-term operation of HSEVs in an urban and rural environment have increased manifold. The regenerative braking system further increases efficiency by converting kinetic energy during deceleration into electrical energy stored in the secondary battery for use afterwards. The simulation results also indicated a 15 percent improvement in energy efficiency and a 25 percent reduction in greenhouse gas emissions than conventional configurations of electric vehicles. The dual-battery setup and the adaptive energy control significantly enhance battery lifespan and operational reliability. This research describes the potential of HSEVs toward environmental sustainability and energy efficiency.Item NEXT GENERATION INDUSTRIAL SAFETY – SMART HELMET(2025) KENNETH AARON FERNANDEZ -1NH21ME034; JEFFERSON RANDY DCOSTA -1NH21ME026; BRUNDA V – 1NH21EC032; CHIRANTHANA M REDDY – 1NH21EC038Item “ROBOTIC ARM DEVELOPMENT USING 3-D PRINTING(2025) MOHAMMED IRFAN -1NH21ME045; HARSHITH R PATTANKODI - 1NH21ME023; MOKSHA S.M -1NH21EC096; VARSHA M -1NH21EC173Prosthetic devices have the power to change lives, offering individuals with limb loss the chance to regain their movements and perform daily activities with ease. However, many current options are either too expensive, difficult to use, or lack the natural responsiveness that users need to feel truly connected to their prosthetics. This project tackles these challenges by designing a 3D-printed robotic arm that mimics human arm movements in real time, controlled by a wireless glove. The glove, equipped with flex sensors, captures the subtle movements of the user’s hand and fingers and sends these signals wirelessly to the robotic arm. The arm then mirrors these movements seamlessly, creating a natural experience. By using accessible components like Arduino boards, flex sensors, and breadboards, along with cost-effective 3D printing technology, we’ve built a system that is both functional and affordable.Item DEVELOPMENT OF A MAGNETIC LEVITATION BASED CONVEYOR SYSTEM FOR HIGH EFFICIENCY MATERIAL HANDLING(2025) ADITHYA GIREESH; VADDADI VENKATA SAI KIRIT; ALWIN SAVIO K X; AMOD S KULKARNIIn today’s rapidly industrializing and technologically advancing world, efficient and reliable material handling systems are essential for operational success across industries. Traditional conveyor systems, while widely used, face limitations such as mechanical wear, high maintenance, and inefficiency in handling diverse or delicate materials. These shortcomings highlight the need for innovative alternatives. Magnetic levitation (maglev) technology offers a promising solution by using electromagnetic forces for levitation and propulsion. This contactless operation minimizes friction, wear, and energy loss, extending system longevity and enabling the safe transport of delicate or high-value items. Industries like electronics, pharmaceuticals, and high-tech manufacturing can benefit significantly from this approach.Item Design and Development of Speech Guded Intelligent Vehicle(2025) Shashanth M; B Vijay Kumar; Manohar JS; Ravi Kumar DThe "Design and Development of Speech-Guided Intelligent Vehicle" project is a new application of voice recognition technology for hands-free, accessible, and intelligent transportation. The smart vehicle integrates an Arduino UNO microcontroller, Bluetooth communication, and a motor driver, which allows for the easy execution of voice commands through an Android app. The system aims to solve mobility issues for disabled people, elderly citizens, and novice drivers. By minimizing dependency on physical controls, the car provides a smooth and distraction-free driving experience to the user. Enhanced with a webcam for real-time visual feedback and a fire detection sensor for safety, the vehicle is versatile yet secure. This feature enables precise motion commands and increases users' confidence, hence furthering potential applications such as automated delivery systems, assistive transportation, and smart home integration. It is designed modular, meaning that it can easily be upgraded in the future, to include multilingual speech recognition, obstacle detection by advanced image processing capabilities, and IoT connectivity for remote monitoring and control. This project exemplifies the potential of integrating speech-guided systems in transportation, but it also highlights its role in promoting accessibility and innovation. The successful implementation signifies a step forward in making mobility inclusive, safe, and efficient for all user groupsItem Design and Development of Innovative Magnetic Suspension Technology for Automobiles(2025) Harikrishnakar S 1NH21ME061; SK Milind 1NH21ME042; Aare Sai Prethy 1NH21EE002; Anushree U Koti - 1NH21EE017Electromagnetic suspension (EMS) systems represent a transformative shift in automotive suspension technology, offering significant advantages over conventional mechanical suspension systems. By utilizing electromagnetic forces to actively control and adjust suspension characteristics in real-time, EMS provides a more adaptive, precise, and efficient solution to vehicle ride dynamics. Unlike traditional systems that rely on mechanical springs and dampers, EMS technology employs electromagnets, sensors, and sophisticated control algorithms to dynamically adjust suspension stiffness, damping, and vehicle height in response to road conditions and driving behaviors. The primary advantage of EMS lies in its ability to continuously optimize the suspension response for improved ride comfort, handling, and stability across a wide range of driving conditions. Real-time adjustments allow for enhanced vehicle stability, minimized vibrations, reduced body roll, and improved tire contact with the road, all contributing to superior driving performance. However, the implementation of EMS in automotive applications introduces several challenges. These include the high energy consumption required to power the electromagnetic components, the complexity of integrating real-time control systems, and the increased initial cost of production. Additionally, the reliability and durability of the electromagnetic components under diverse environmental and operational conditions remain critical areas of research and development. Addressing these challenges is essential for the widespread adoption of EMS in mass-market vehicles. Ongoing advancements in EMS technology are focused on optimizing energy efficiency, improving the robustness of electromagnetic components, and reducing system weight and cost. In particular, the integration of EMS with electric and autonomous vehicles holds great promise, as these platforms benefit from the enhanced suspension capabilities, offering further improvements in ride quality, energy efficiency, and overall vehicle performance. electromagnetic suspension technology offers substantial potential to revolutionize automotive suspension systems, delivering superior comfort, handling, and performance. As technological innovations continue to address current limitations, EMS is poised to become a critical component of next-generation automotive design, contributing to the development of more efficient, dynamic, and high-performance vehicles.Item REAL TIME SPEECH TO BRAILLE CONVERSION TABLET FOR VISUALLY IMPAIRED(2025-05-06) K RAKESH; M SANJAY BALAJI; KRITI S DEVATHA; M CHANDANAThe Real-Time Speech-to-Braille Conversion Tablet is an innovative assistive device designed to bridge the accessibility gap for individuals with dual sensory impairments— visual and hearing disabilities. Recognizing the challenges faced by these individuals, including limited access to Braille resources, high costs of existing technologies, and barriers to real-time information, this project aims to deliver a cost-effective, portable, and functional solution. The tablet converts spoken English into tactile Braille characters, allowing users to access real-time auditory input through touch. The core of the system features a dynamic Braille cell operated by solenoid actuators controlled by an ESP32 microcontroller. Speech input is captured via a microphone, processed through Python-based speech-to-text algorithms, and subsequently converted into Braille representations. The system updates the single Braille cell every five seconds, displaying successive characters in a sequence. This design ensures portability and costefficiency while maintaining functionality. Key objectives of the project include addressing the high cost of traditional Braille systems by using affordable components like solenoid linear motors, enabling real-time speech-totext conversion, and enhancing accessibility to educational and communication resources. The device fosters independence and reduces reliance on caregivers by offering a reliable, user-friendly interface tailored for visually and hearing-impaired individuals. Additional features include a scalable design, with potential future expansions to support multilanguage speech recognition, multi-cell Braille displays for faster reading, and integration with other assistive technologies. By broadening access to information, the Speech-to-Braille Conversion Tablet is poised to transform the learning and communication experiences of visually and hearing-impaired individuals. Its innovative approach to affordability, portability, and real-time functionality establishes a new benchmark for assistive technology in this domain.Item OBSTACLE AVOIDER ROBOTIC VEHICLE IN HOSPITAL ENVIRONMENT(2025-05-06) JOSEPH PRAMODRAJ; K NAVEEN KUMAR; SUDARSHAN; VISHWA KIn today’s fast-moving healthcare world, it’s crucial to provide patients with accurate, quick, and efficient care. The "Obstacle Avoidance Vehicle" in Hospital Environment aka “Smart Medical Robot” project is designed to improve hospital operations by using advanced automation and Internet of Things (IoT) technology. This robot takes care of routine tasks, encourages hygiene, supports remote care, and helps make patient care better overall. The Smart Medical Robot can move on its own through hospital hallways using sensors like ultrasonic and infrared to avoid obstacles. It can also find patient beds using a colour sensor, and a built-in camera allows doctors to check on patients from a distance. This makes it especially helpful in situations like isolation wards or during infectious disease outbreaks. Patients can interact with the robot using a keypad. They can request help, check information, or even receive medications tailored to their needs. The robot has secure compartments to store and dispense medicines, ensuring they are delivered safely and correctly. The robot’s remote monitoring feature also supports telemedicine, allowing doctors to provide consultations and monitor patients without being physically present. This reduces unnecessary contact, saves time, and makes hospital resources more efficient. By automating tasks, lowering errors, and enhancing patient care, the Smart Medical Robot contributes to safer and smarter healthcare services. In short, the Smart Medical Robot is an innovative solution that uses technology to simplify hospital workflows, improve hygiene, and support remote healthcare. It’s a step toward making healthcare systems smarter, safer, and more effective.Item DEVELOPMENT OF AN AUTOMATED TRAFFIC SIGNAL SYSTEM FOR EMERGENCY VEHICLE PRIORITY(2025-05-06) M VINAY; A V D SANDESH; T MAHESH; SUCHITHRA RThe rapid growth of urbanization and the increasing number of vehicles on the roads have posed significant challenges for traffic management, especially during emergencies. Tra-ditional traffic systems, reliant on fixed schedules and manual adjustments, often fail to meet the dynamic requirements of modern traffic, leading to delays that can have life-threatening consequences during medical crises, fires, or accidents. The Emergency Traf-fic Control System (ETCS) addresses these issues by utilizing advanced technologies like RFID, GPS, GSM, IoT, and AI to prioritize emergency vehicles and facilitate their swift movement through congested areas. By using RFID sensors and readers, ETCS detects emergency vehicles in real-time and communicates with adaptive traffic control systems to dynamically adjust signals and create green corridors. This ensures minimal delays for ambulances, fire trucks, and po-lice vehicles while maintaining smooth traffic flow for regular commuters. Public alert mechanisms, such as screens and buzzers, notify drivers and pedestrians, enhancing awareness and compliance. IoT connectivity allows real-time synchronization between vehicles, traffic signals, and centralized hubs, ensuring accurate decision-making. GPS and GSM modules further en-hance functionality by providing real-time tracking and communication, enabling emer-gency vehicles to navigate effectively. The system is cost-effective, scalable, and easily adaptable to existing infrastructure, making it ideal for modern cities aiming to improve emergency response and urban mobility.Item AI DRIVEN TOOL WEAR AND PRODUCT QUALITY MONITORING SYSTEM USING IoT(2025-05-06) SATISH; TARUN N; V M KHESHAV; SHIVA KUMAR PLathe machining is a popular production technique where a fixed cutting tool shapes a revolving workpiece. Manufacturing cylindrical components like shafts, gears, and rods, which are vital in many different industries requires this procedure. The state of the cutting tool, which wears down and becomes blunt over time from constant contact with the workpiece, has a significant impact on the effectiveness and calibre of lathe machining. Reduced machining performance from this tool wear results in dimensional errors, poor surface finishes, and most importantly long downtime, all of which raise operating expenses. Early tool wear detection is crucial to preventing these detrimental effects. Visual inspections and trial-and-error testing are two time-consuming and sometimes inaccurate traditional techniques of checking tool condition. In order to promptly identify tool failure or bluntness, there is a rising demand for more effective, real-time, and data-driven methods. Using sound decibel sensors, which can record the noise produced throughout the cutting process, is one viable alternative. Since variations in sound levels are frequently associated with tool wear, these sensors can offer important information on the state of the cutting tool. The goal of this research is to create a prediction model that uses sound decibel data to estimate the bluntness or failure of cutting tools in lathe machines. Decibel sensors will be positioned close to the tool post to record and evaluate sound levels in real time, allowing for the tracking of the tool's condition. A variety of cutting variables, including feed rate, cutting speed, and the materials of the tool and workpiece, will be included in the data that is gathered. Regression models will be created using statistical analysis tools like Minitab in order to forecast bluntness or tool failure based on the sound data and additional cutting characteristics. By facilitating preventive tool maintenance and reducing expensive downtimes, this predictive model seeks to improve machining productivity and eventually contribute to more economical and environmentally friendly production processes.Item AUTONOMOUS VEHICLE - PATH PLANNING AND TRAJECTORY OPTIMIZATION(2025-05-06) JUGAL JISHNU A S; DHANUSH G MUTHU; SREEJESH S; MANASA VTAutonomous vehicles integrate a range of advanced sensors, artificial intelligence (AI), machine learning, and robotics to make real-time decisions, control the vehicle's movements, and ensure safety while navigating a variety of road environments. Autonomous vehicles rely on an array of sensors LiDAR (Light Detection and Ranging) Cameras Radar Ultrasonic Sensors to perceive their surroundings. AI algorithms, particularly deep neural networks, are employed to process the massive amounts of data collected by the sensors. These models help the vehicle "understand" the environment and make decisions such as identifying pedestrians, traffic signs, and road conditions. Autonomous vehicles represent a major leap forward in the evolution of transportation. By leveraging cutting-edge technologies in AIItem 3D PRINTED SMART DOOR(2025-04-06) YASHWANTH BS; MANISH J; K RAJINI; KRUTHIUKA DCThe integration of 3D printing technology with smart security features is transforming the design and functionality of modern doors. This paper investigates the development and implementation of 3D-printed smart doors equipped with Radio Frequency Identification (RFID) and keypad access systems, providing enhanced security, convenience, and customization. By leveraging the precision and flexibility of additive manufacturing, these doors are designed to integrate seamlessly with RFID tags and keypad interfaces, offering secure entry mechanisms for residential, commercial, and industrial environments. The RFID system allows for contactless entry by detecting authorized tags, while the keypad enables PIN-based authentication for additional security layers.Item Tilting Train Set(2025-05-06) KUMMARA ABHISHEK; PARTH CHANDRAJIT BHARADWAJ; GADE GURUSARAN REDDYTrains have long been a cornerstone of efficient transportation, evolving through advancements in locomotive technology, rolling stock, and traction systems. The early rakes used different kinds of rudimentary suspension systems like, Leaf Springs and Simple Spring boxes. However, as the speed of a trains was increased, the need for using better suspension and led to the evolution of Axle and Beam suspension system. Trains were always complex machines that had various components put together, early models of locomotives featured gauges and mechanical indicators, which had to be manually inspected and were maintenance intensive to keep them operationally active. Modern trains use various new systems and components with checks and balances for monitoring the sub-systems on board. These subsystems could include ECUs, sensors, and other electronic components that are connected to over protocols to communicate with their each other. Often when technology matures across various fields this creates an opportunity to build better systems over the existing ones, such was the situation in 1930s when the technology of the steam locomotives reached a new peak with the A4 4468 Mallard which recorded the high speed of 126 mph. In 1960s when the French SNCF built CC7107 locomotive, which broke all the previous records of trains at 331 km/hr. As the technology started improving the engineers started working on improving both the rolling stock and the railway line. This led to the creation of active and passive tilt mechanisms, and trainsets. This project presents a system which highlights the benefits of using tilting train technology designed for rakes with no active or passive tilting system or normal rakes on cant deficient tracks with Air Suspension and CAN Bus to improve safety and comfort of the travel.Item DESIGN AND IMPLEMENTATION OF BATTERY MANAGEMENT SYSTEM WITH CHARGE MONITOR AND FIRE PROTECTION FOR EV(2025-05-06) S NAVEEN; HARSHA B; R PUNEETH KUMAR; UDAY A KAMMARFor electric vehicle (EV) battery management systems (BMS) to ensure battery performance, longevity, and safety, temperature regulation is essential. Poor temperature regulation can lead to problems such overheating, delayed cold charging, energy drain, efficiency loss, and cell imbalance. Monitoring the voltage, current, and temperature of individual cells as well as using microcontrollers or System-on-Chips (SoCs) for real-time data processing can help to lessen these difficulties. Determining the battery's State of Health (SoH) and State of Charge (SoC) aids in maximizing performance and averting harm.Item SOS DEVICE FOR SAFETY AND SECURITY(2025-05-06) V ARVIND REDDY; CHETAN; YUVRAJ SINGH RAJAPUT; VENKATESHTimely response to emergencies is critical for ensuring safety and security in vulnerable situations. Effective SOS devices play a pivotal role in providing individuals with immediate assistance and enabling swift action during crises. This project provides an overview of the methodologies and technologies utilized in the SOS Device for Safety and Security. It delves into essential components such as GPS tracking, real-time communication, AI-driven voice analysis, and microcontroller integration, which form the foundation of the system. The primary focus lies in optimizing alert delivery to reduce response times and enhance user protection. Furthermore, the project examines challenges like system reliability, false alarms, and efficient connectivity. It also explores technological advancements aimed at mitigating these challenges. By critically evaluating the existing design and proposing enhancements, this project aims to contribute to the development of robust, reliable, and user-friendly SOS devices to improve safety standards and provide peace of mind.