2024-25

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Conveyor optics: Conveyor Belt Sorting Mechanism
(2025) New Horizon College of Engineering
Samiksha Prasad 1nh21cs212 Devadaith KV 1nh21cs070 Mohammed Rashid 1nh21me046 Devsen Sanil 1nh21me016
Design and Fabrication of Flexible Robotic Adaptable Arm
(2025) Sangamesh Police Patil -1NH22ME411; Sudeep -1NH21ME073; Suresh R -1NH22AI410; Varun M S -1NH22AI411
ROBOTIC manipulators, designed to replicate human arm functions, are pivotal in fields such as manufacturing and healthcare. Traditional rigid manipulators face limitations like high power consumption and high cost. Flexible robotic manipulators (FRMs) offer a so- lution with lightweight design and enhanced portability, making them economically viable and safe in human robot shared spaces. Despite the merits of FRMs, their flexibility intro- duces challenges like decreased precision and increased oscillations.
HUMANOID ROBOT
(2025) PREM NAIK H -1NH21ME052; MALLIKARJUN R K-1NH21ME038; HARISH KUMAR A N -1NH21EE035; HEMANTH R -1NH21EE038
The design and implementation of a humanoid robot are shown in this project, with an emphasis on the integration of multiple components to produce synchronized movements and functionalities. An ATMEGA 2560 microcontroller powers the robot, managing the relays for the head motor (HM), right and left legs (RL and LL), as well as the right and left hands (RH and LH). DC-DC buck converters are used to control the power supply, guaranteeing steady voltage levels for the motors and LEDs. The wiring diagram offers a clear assembly pattern by highlighting the connections between the microcontroller, relays, motors, and battery pack. Troubleshooting is made easier by using color-coded wiring. This humanoid robot is a useful tool for study and teaching since it can mimic human movements and carry out simple tasks. The project's goal is to investigate the potential of humanoid robots in a range of fields, such as entertainment, assistive technologies, and human-robot interaction. Sensors for navigation and obstacle detection are incorporated into the robot's design to improve its interaction with its surroundings. The robot can converse with humans thanks to the inclusion of speech recognition and synthesis components, making the experience more engaging. In order to enhance the robot's performance over time, the study also investigates the application of machine learning methods. Because the humanoid robot has a camera for visual input, it can identify and react to various movements and objects. The study shows how humanoid robots can help with a range of jobs, from housework to educational activities. The robot is a flexible platform for further study and development because of its modular architecture, which makes upgrades and customization simple. The project also discusses privacy and security issues as well as other ethical issues surrounding humanoid robots. The project's outcomes demonstrate how crucial interdisciplinary cooperation is to the creation of sophisticated robotic systems. The integration of multiple technologies to produce a working and interactive robotic system is demonstrated by the humanoid robot. A discussion of the potential for more sophisticated capabilities and applications, as well as future possibilities for humanoid robot development, is included in the project's conclusion.
SMART SYSTEM FOR AUTOMATED MEDICAL EMERGENCY ALERTS
(2025) S BHARATH - 1NH21ME059; SAI SHANKAR SUDHANVA G - 1NH21ME063; AJAY KUMAR R - 1NH21AI009; BIPIN GANAPATHY - 1NH21AI016
Medical emergencies often occur without warning, requiring immediate attention to prevent serious health consequences or even fatalities. Conditions such as cardiac arrests, strokes, respiratory distress, or accidents demand prompt intervention to maximize survival chances. Unfortunately, delays in identifying and responding to these emergencies are common, whether due to the inability of affected individuals to seek help or the unavailability of someone to assist them. The need for an efficient, reliable, and automated system to handle such situations is therefore imperative.
SMART HELMET FOR RIDERS TO AVOID ACCIDENTS USING IOT
(2025) SATISH K; PRANEETH; MANU V; RAMANAJI J
The "Smart Helmet for Riders to Avoid Accidents Using IoT" is an innovative safety system designed to prevent accidents and ensure rider safety through real-time monitoring and control. The system integrates an Arduino microcontroller with various sensors, including a IR Sensor to ensure the helmet is worn, an alcohol sensor to detect intoxication, and a MEMS sensor to monitor for accidents. In case of abnormal conditions, such as alcohol detection or an accident, a buzzer sounds an alert, and a relay automatically turns off the vehicle's DC motor. Additionally, GPS and GSM modules provide location tracking and send emergency notifications, while an LCD displays essential information to the rider. This system enhances rider safety by preventing operation under unsafe conditions and providing immediate alerts in case of emergencies.
DESIGN AND DEVELOPMENT OF INTELLIGENT PASSENGER-CENTRIC URBAN TRANSIT SYSTEM
(2025) AMEY RAMESH CHAVAN-1NH21ME011; PEERIGA KARTHIKEYA -1NH21AI072; JOHN MICHAEL FRANCIS-1NH21ME027; NEVA TESSA MANOJ -1NH21AI066
This project presents an intelligent system for optimizing public transportation schedules through machine learning algorithms and real-time data analysis. Traditional fixed scheduling often leads to inefficiencies due to dynamic passenger flow and unpredictable traffic. This solution leverages advanced sensors at bus stops and onboard vehicles to collect data, including passenger counts and traffic updates. Machine learning models process this information to predict demand surges and enable dynamic schedule adjustments, reducing wait times, overcrowding, and resource waste.
Multilingual Real-Time Voice Translator With emotion Detection and web interface
(2025) Mithun S; Monisha M; Madunuri Aditya Varma; Kamal Deepu 1NH21ME032
The translator’s expanded language repertoire addresses the need for comprehensive linguistic coverage. Context-aware algorithms significantly improve translation accuracy, enabling the system to handle idiomatic expressions and complex language structures adeptly. This capability ensures reliable communication across various languages and dialects, making the translator indispensable for international collaborations and multilingual settings.
ARTIFICIAL INTELLIGENCE-DRIVEN MAGNETIC LEVITATION AUTOMATED TRAIN
(2025) MADAN B K -1NH22ME406; MOHAMMED SAMEER -1NH22AI407; MOHAMMED FOUZAN SIDDIQUI-1NH21ME044; GOWTHAMI H N -1NH22AI403
Magnetic levitation, or maglev technology, represents a cutting-edge advancement in transportation, allows vehicles to float above a track using powerful magnetic forces. Unlike traditional trains that rely on friction between wheels and rails, maglev trains are lifted and propelled by magnetic fields, achieving high speeds and smoother rides. This technology has gained significant attention for its potential to revolutionize mass transit by offering faster, quieter, and more energy-efficient alternatives to conventional rail systems.
DESIGN AND FABRICATION OF SMART WHEELCHAIR-CUM-BED EQUIPPED WITH SMART HEALTH MONITORING SYSTEM
(2025) BHAGATH MANJUNATH S - 1NH22ME402; SAI KRISHNA K M -1NH22AI409; SURESH A -1NH22ME412; SWASTITIRTHA DASH -1NH21AI108
This project focuses on the design and development of a smart Wheelchair-Cum-Bed, capable of seamlessly transforming into either a wheelchair or a bed at the press of a button. The system incorporates a rack-and-pinion mechanism for smooth transition between modes, ensuring ease of use for individuals with mobility challenges. Additionally, the wheelchair can be moved from one location to another with a simple button press. Integrated health monitoring features, including sensors for heart rate, pulse, humidity, and ECG, provide real-time health data to enhance the user's well-being. This innovative design aims to offer both mobility assistance and healthcare support, improving comfort, independence, and affordability for users.
Design and Development of Smart Window Control System
(2025) RAHIL NAJEEB; SAHANA S; SANJIVANI MAZUMDER; MOHAMMED IRFAN
This project "design and development of a Smart Window Control System" utilizes technology to enhance interior safety, convenience, and environmental flexibility. The system automates the operation of a motorized window by utilizing an Arduino microcontroller in combination with two crucial sensors: a rain sensor and a smoke sensor. When the rain sensor detects precipitation, it automatically closes the window, preventing water damage to the interior environment and preserving a cozy interior environment even in inclement weather. However, when the smoke sensor detects that there is smoke in the room, it immediately opens the window, promoting air circulation and allowing hazardous gases to dissipate, which improves indoor air quality and increases safety during any fire or smoke-related incidents. A custom-built mobile application that allows for real-time interaction and greater control was created using MIT App Inventor. Using the "Open" and "Close" buttons on the app interface, users may manually control the window. This user-friendly application connects to the Arduino microcontroller over Bluetooth.
Automated Alerting Systems for Medical Emergencies (Accident detection)
(2025) SAYA MANEESH; TARUN S; S PARADA SAI NARASIMHA; SAHIL KISHOR
In today’s fast-paced world, road safety remains a significant global concern, with accidents causing substantial human and financial losses. To mitigate these effects, this project proposes an Accident Detection and Alert System that uses sensors, microcontrollers, and communication modules to detect accidents and notify relevant authorities or contacts promptly. The system is designed to minimize emergency response times by providing real-time alerts and GPS-based location data.
Design of Queue management system
(2025) ABHISHEK KUMBAR-1NH21ME002, SPANDANA SANJAY HADAGINAL -1NH21ME072, AJNA HS -1NH21CS016, ASHWIN K MANASHIVANGI 1NHECS038.
Timely 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.
“ROBOTIC ARM DEVELOPMENT USING 3-D PRINTING
(2025) MOHAMMED IRFAN -1NH21ME045; HARSHITH R PATTANKODI - 1NH21ME023; MOKSHA S.M -1NH21EC096; VARSHA M -1NH21EC173
Prosthetic 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.
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-1NH22CE406
NEXT GENERATION INDUSTRIAL SAFETY – SMART HELMET
(2025) KENNETH AARON FERNANDEZ -1NH21ME034; JEFFERSON RANDY DCOSTA -1NH21ME026; BRUNDA V – 1NH21EC032; CHIRANTHANA M REDDY – 1NH21EC038
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 KULKARNI
In 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.
AGRI – SMART 2.0
(2025) NAGAPRASAD HS – 1NH21ME048; THARUN B – 1NH21ME077; AKASH S CHERIAN – 1NH21IS012; ASHIMA PRASAD – 1NH21IS029
The 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.
HYBRID SOLAR- POWERED ELECTRIC VEHICLE
(2025) S SANJAY SREE VARSHAN-1NH21ME065; RAGHUNANDA K S-1NH22EE410; JAYASOURYA U -1NH22EE402; S SUHEL AHMED-1NH22EE409
The 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.
Design and Development of Innovative Magnetic Suspension Technology for Automobiles
(2025) Harikrishnakar S 1NH21ME061; SK Milind 1NH21ME042; Aare Sai Prethy 1NH21EE002; Anushree U Koti - 1NH21EE017
Electromagnetic 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.
MAGNETIC LEVITATION TECHNOLOGY
(2025) MOHAMMAD FARHAT KHAN-1NH21ME043; KARAN G LOKRE-1NH21ME033
Magnetic 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.

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