Project Reports

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2-wire Ac distribution for protection -using isolation transformer
(NHCE, 2020) THOMAS ALLWIN ANTO – 1NH17EE754 ABHILASH MITHARE – 1NH17EE701
There are many circumstances that can lead to electrical accidents. It is subsidiary to identify and document kenned hazardous conditions that will be engendered in electrical facilities and equipment. Conditions that can be reproduced in a laboratory, intended to duplicate genuine-life conditions, can be acclimated to enhance cognizance of the possible hazards and they can withal facilitate manufacturers to develop safer and more fire-resistant electrical systems. The desideratum for electrical energy is sizably voluminous due to advancements in technology, which are mainly electrically driven. This advancement has equipollently established high electrical accidents, due to unsafe working conditions and practices followed at work. Hence, the desideratum to truncate the accidents at workplaces becomes a desideratum in order to increment productivity and make the environment safe for household dwellers and workers. Isolated extension supply is a contrivance used to isolate a domestic AC distribution supply system from the ground connection. The objective of this contrivance is to increment electrical safety especially for the users of the pieces of equipment. An endeavor has been made in this thesis to propose a simple isolated extension supply which averts electrical accidents to the users and the types of equipment.
360 Degree Solar Tracking And Automatic Cleaning System
(2015-12-22T09:16:43Z) Suman, Choudhary; Sneha, Kumar; Saurabh, Kumar; Neeraj, Kumar
The solar PV modules are generally employed in dusty environments which is the case in tropical countries like India. The dust gets accumulated on the front surface of the module and blocks the incident light from the sun. It reduces the power generation capacity of the module. The power output reduces as much as by 50% if the module is not cleaned for a month. In order to regularly clean the dust, a sun tracking- cum- cleaning system has been designed, which not only tracks the sun but also cleans the modules automatically. This automated system is implemented using microcontroller which controls the stepper motor coupled solar panel. This mechanism does not require any sensor or synchronization for tracking the sun. In this mechanism, the solar panels make a rotation of 360o in a day, which results in sliding of cleaning brushes twice over the PV modules. In terms of daily energy generation, the presented tracking- scheme provides about 30% more energy output as compared to the flat PV module (module kept stationary on ground) and about 15% more energy output as compared to PV module with single axis tracking. The implementation and working of 360 degree sun tracking system with automatic cleaning is described in this paper.
3D printed smart door
(NHCE, 2024) K Rajini –1NH21EE040 , Kruthiuka Dc-1NH21EE048, Yashwanth Bs-1NH21ME083 , Manish J-1NH21ME039
The 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.
7 Level Real time Multi Level inverter
(NHCE, 2020) RASHMI RAMACHANDRA 1NH17EE045 VANISHREE PARAMASHETTI 1NH17EE059 KAREN JUSTUS 1NH17EE026 TABASSUM 1NH17EE056
For high-power, high-voltage applications, multilevel inverters have gained widespread acceptance. In comparison to traditional inverters, this architecture requires fewer components, as well as less carrier signals and gate drivers. As a result, the overall cost and complexity, particularly at higher output voltage levels, are considerably decreased. This topology uses fewer components than other topologies.to standard topologies The level generation and polarity generation elements of the output voltage are separated. The level creation section employs high-frequency switches to generate various levelsThe polarity generation portion is in charge of determining the output voltage's polarity. Because the inverter has a component that works the switching power devices at line frequency, it is also more efficient. As a result, all switches do not need to operate at high frequencies, making inverter control easier and more dependable.
8051 Based Renewable Energy – 12v DC Power Generation Using Back EMF & Solar
(2015-12-23T09:25:18Z) Amit, Kumar; Gagan Deep, Singh; Rahul, Rai; Surabhi, Kumari
In this project solar energy and motor back emf is used to charge the battery. Sometimes solar panel will not provide enough voltage to charge battery due to insufficient sun light. So here a Buck Boost circuit is used to boost the voltage to required level. And also we run a motor through motor driver which is actuated by the controller. That motor is coupled by another motor. Due to coupling the other motor rotates and generates back emf. This genearated back emf is boosted and applied to battery to charge the battery. A bulb or LED will be connected to battery as a load, the battery supply is given to LED through another Buck Boost so that if battery voltage reduces the intensity of light remains still due to constant voltage supplied by boost circuit.
A certain Investigation of Distribution Line in Link with Substations Using GSM Technology
(NHCE, 2022) P Yashwantha :1NH18EE407 P.Sindhu: 1NH19EE083 Muntazir Abid:1NH19EE076 Muntazir Ali : 1NH19EE077
A certain Investigation of Distribution Line in Link with Substations Using GSM Technology
A Novel Fault Tolerant Solution for Underground Transmission System Monitored by GSM
(NHCE, 2020) Vandita Manohar 1NH17EE755 Muhammad Maaz 1NH17EE725
With the advancement of technology and beautification of the developing countries, India is now advancing towards adapting the underground system of cables or transmission lines to transfer power from the power station to the required places and equipments. With the advancing of technology comes new problems which need solutions. The underground cable system can be more efficient than the over head transmission lines. however, other than the external faults there can be faults that can arise in the cables due to certain issues which will be discussed further in the report. Tolerating fault that occurs above the ground is easy as it is visible to the naked eye but that is not the case when it comes to analysing the fault that occurs below the ground. They need to be dug through in places that seem to be faulty and that assumptions may not always be right. To solve this issue we have designed an underground fault detection system that will take signals from the sensors attached at a specific distance on the cables which is then connected to the relays. The relays will pick up the high surge in either voltage or current and then send the relay impulses to the Arduino which is already fed with a code that will assist in calculating the accurate distance of the fault from the base station and inmate the operators. This will save time and allow uninterrupted flow of power to the required places. This project is designed keeping in mind the concept of smart engineering where we are not going to be using a lot of expensive components rather we are working with minimal to provide the maximum result as it can be made available for a lesser cost and be accurate which will also help in sales. To the Arduino we will be attaching a GSM module in the next phase will allow us to get the SMS of the location of the fault which will be sent directly through the Arduino. The underground fault tolerant system will help in minimising the time taken for maintenance and also it will be easy to operate making it non dependable as anyone with basic knowledge can use it and fix the problem without any delay.
A Portable Improvised Solar Home Lighting System With LiFePO4 Battery
(2023)
A Portable Improvised Solar Home Lighting System With LiFePO4 Battery
Ac to DC Converter With Power Factor Correction
(2018-10-24T11:14:38Z) Sushmitha, N; Sushmita, Das
In present days, the evolution of growing laptops, computers, telecom, uninterrupted power supplies and biomedical equipment has increased. Hence, utilization of such equipment results in consumption high power and small power density providing a large market for Distributed power system (DPS). Typically most of the electronics equipment consists of rectifier circuit behaves as nonlinear load producing non-sinusoidal line current due to nonlinear input characteristic. The steady growth of electronic equipment’s has become a significant problem as per the line current harmonic is concerned. As there are number of standards to limit the harmonic caused due to line current. But power factor plays vital role in reducing line current harmonic. This idea is the inspiration to this research effort. The main objective is to improve the power factor nearly unity.
Accelerometer Operated Wheelchair for Physically Challanged People
(2018-10-17T12:47:16Z) Anirudh, Dhar; Manish S, Bharadwaj; Adam Derryl, Nazaereth; Shashiraj Kumar, Moger
The main objective of this project is to build a wheelchair that can be controlled by the patient itself. Most of the wheelchairs in the market right now are manually handled by an attendant. Some of the options available in the market are joystick based control which is efficient but not practical for someone with quadriplegia where all of the four limbs are non-functional. So this wheelchair is based on head gesture control where the patient wears a head band and can tilt his head in the required direction and the wheelchair hence moves accordingly. Here we are going to use an accelerometer to read the head gestures made by the user. The accelerometer is placed in the head band . As soon as the patient moves their head and tilt angle is produced by the accelerometer and the signal information is sent to motor via microcontroller reproducing the required motion in the wheelchair.
Accident Identification and Alerting System by Using Raspberry Pi
(NHCE, 2021) Venkan Gouda : 1NH18EE754 Vishwanath Patil :1NH18EE758 P.MD. Muthahir Khan :1NH18EE733
Accident Identification and Alerting System by Using Raspberry Pi
Accident Zone Detector with Speed Control
(2016-07-12T12:13:57Z) Ganapati; Abhishek, KS; Nilanjan, Sen; Prasan, Tamang
The project is designed to provide a soft and smooth start to a 3 phase induction motor. The three phase induction motor during the initial starting condition draws up much higher current than its capacity and the motor instantly reaches the full speed. This results in a mechanical jerk and high electrical stress on the windings of the motor. Sometimes the windings may get burnt. The induction motor should start smoothly and gradually catch up the speed for a safer operation. This project is designed to give a soft start to the induction motor based on the SCR firing triggered by heavily delayed firing angle during starting and then gradually reducing the delay till it reaches zero voltage triggering. This results in low voltage during start and then gradually to full voltage. Thus the motor starts slowly and then slowly picks up to full speed. This project consists of a six anti-parallel SCRs, two for each phase, the output of which is connected to a set of lamps representing the coils of a 3 phase induction motor. The charging and discharging of capacitors is interfaced to comparators resulting in delayed firing pulses during start and then gradually reducing the delay till the motor runs at full speed. Output from the comparators is fed through opto-isolators to trigger the SCRs. Further the project can be enhanced by using IGBTs in place of SCRs with PWM control to reduce harmonic distortions often encountered in SCR triggering mechanism.
Advanced driver: vehicle navigation system
(NHCE, 2024) Buggesh -1NH22EE401 Sanjeevakumar N Pujari -1NH22EE411 Shashikiran - 1NH22IS411 Vinay Kumar K N -1NH22IS415
The "Autonomous vehicle navigation, Bluetooth, and Voice control" project focuses on developing an intelligent vehicle system that combines advanced navigation, wireless connectivity, and voice command capabilities. The systems enables the vehicle to operate Access to an affordable and working healthcare system is one of the aspects by which a autonomously by utilizing sensors for path planning, obstacle detection, and real-time country can be classified upon. Today, healthcare in India has become of the fastest decision-making. Bluetooth integration provides a seamless wireless interface for remote growing sectors with respect to both employment and revenue control and monitoring, while the incorporation of voice recognition technology allows an abstract(synopses) not exceeding 1000 words, indicating hands free interaction , enhancing user convenience and accessibility. this hybrid control approach ensures flexibility, enabling the vehicle to adapt to various applications such as personal transport, industrial automation, and delivery systems.The autonomous vehicle navigation, Bluetooth, and voice control project combines cutting-edge technology technology to enhance the functionality and user interaction of autonomous navigation, Bluetooth communication, voice-based contralto create an intelligent and user- friendly transportation systems.
Advanced Power Saving and Security System
(2020-10-07T09:47:27Z) G, Chandrakala; V, Nethravathi
With the advancement in technology, the number of electronic devices in our day-to-day Life has increased to make life simpler. So there is necessity to construct a trustable Remote System that will easily control all these devices from a distance will not only reduce the complexity of handling the number of devices simultaneously, but also save power. This report presents overall design of Home Automation and Security System. This is an IOT based project. After research, we make a successful prototype. Using the Ethernet and microcontroller technology we design a Home Automation System where the entire electrical item will be controlled. Using the internet people can also monitor room temperature, Gas occurrence in kitchen, detect human in room through the user friendly Web Application and also makes a sms notification system. Comparing to others this system is low cost, attractive user friendly interface which is platform independent and it’s very easy to install. After implementation of all functions, the system is tested in different stages and it works successfully as a prototype.
Agricultural 3 Phase Motor Control System
(NHCE, 2020) Vinod Choudhary S (1NH17EE757) Rahul Rajkumar(1NH18EE418)
As we know that India is an agricultural based country and its most of resource depends on agricultural outputs. From rapid development in agriculture in India many automatic technology has been implemented in agricultural production. As the total rainfall in various area may be either ill-timed or insufficient. Does in order to get maximum yield, it is necessary to supply optimum quantity of water and also maintain correct timings of water input. It is possible only if systematic irrigation process is done by collecting water when excess rainfall and release it to crops when they required. The science of planning and designing of an efficient, low cost, economic systems are tailored to fit natural condition. From the construction of proper distributed system, the yield of crops may increased due to controlled water supply
Agrismart rob spider for spraying and weed cutting
(NHCE, 2024) Samuel W S -1NH21EE101 Sandeep R Naikar -1NH21EE103 Sanketh Sheshannanavar-1NH21EC138 Soham Bag – 1NH21EC153
This project aims to design and develop a prototype of an eight-legged walking robot inspired by the Theo-Jansen mechanism, which mimics nature’s ability to navigate rough terrains efficiently. The robot uses an eight-bar linkage system to replicate the motion of legged creatures, providing superior mobility in environments where wheeled or tracked vehicles are impractical. The Theo-Jansen mechanism, typically consisting of a 13-bar linkage, is adapted to create a functional walking robot with minimal actuators for low power consumption and reduced weight. The primary objective is to demonstrate the feasibility of creating a manually controlled, off-road walking robot with enhanced agility and durability, suitable for challenging terrains such as extraterrestrial landscapes or hazardous environments like nuclear reactors. This project contributes to advancing legged robotic systems for various practical applications.
AI and IoT Based Detection of Pesticides in Organic Fruits and Vegetables
(NHCE, 2022) Manoj Kumar H V:1NH19EE069 Naveen R N:1NH19EE080 Sandep Naik R: 1NH19EE095 Manoj Kumar P : 1NH19EE070
AI and IoT Based Detection of Pesticides in Organic Fruits and Vegetables
AI Based EV Charging Station And Scheduling For Smart Energy Systems
(NHCE, 2026) PRAJWAL MR 1NH22EE078 PRAVEEN KUMAR 1NH22EE080 T. PURUSHOTHAM 1NH22EE116 V BHARGAV 1NH22EE121
The project presents a refined and fully integrated AI-enabled energy management and EV charging optimization system designed to intelligently coordinate charging operations while ensuring stable and efficient energy distribution within a campus microgrid. The work responds to a critical contemporary challenge: the rapid expansion of electric vehicle usage is placing unprecedented stress on institutional electrical infrastructures, which often lack the flexibility to manage sudden load fluctuations, integrate renewable resources effectively, and maintain operational reliability without costly upgrades [1][2]. To address these needs, the proposed system adopts a Genetic Algorithm-based optimization engine capable of resolving multiple competing objectives simultaneously. These include minimizing electricity cost by incorporating time-of-use pricing signals, lowering peak electrical demand through strategic load shifting, increasing renewable energy penetration by synchronizing charging activities with solar generation forecasts, safeguarding priority loads during constrained supply conditions, and enhancing user satisfaction through transparent and predictable scheduling operations. The optimization module executes at two-hour intervals with a computational time between 45 and 60 seconds, enabling continuous adaptation to evolving load behavior, energy market variations, and environmental factors such as solar irradiance patterns [3][11]. The platform is supported by a wide network of IoT-based sensing and control hardware deployed throughout a 20-hectare academic campus. ESP32-based EV charging units measure voltage and current with ±1.5% accuracy, while Arduino UNO controllers monitor departmental consumption, execute automated load-shedding routines, and analyze three-phase power parameters. Renewable energy nodes incorporating NodeMCU modules facilitate communication with solar and battery storage subsystems, forming a cohesive and distributed sensing architecture. All hardware communicates through an MQTT-based WiFi backbone delivering an average latency of 254.6 milliseconds—substantially lower than the 2-second responsiveness requirement for real-time microgrid management [15]. System-level processing and optimization occur on a centralized MATLAB workstation equipped with an Intel Core i7-12700 processor and 32 GB RAM, maintaining more than 99% availability under continuous operation. Extensive field evaluation demonstrates
AI Based Smart Energy Price Prediction and Appliance Optimization System
(New Horizon College of Engineering, 2026) DEEPTHI R 1NH22EE033 DEEPU T 1NH22EE034 MULA MUNI CHINMAI RUCHITHA 1NH22AI096 MUPPIDI NEHA SATYALATHA 1NH22AI098
Access to an affordable and working healthcare system is one of the aspects by which a country can be classified upon. Today, healthcare in India has become of the fastest growing sectors with respect to both employment and revenue. In India, rising energy demand and fluctuating electricity prices have made it increasingly important for consumers to manage their electricity usage and costs effectively. This project, titled "AI-Based Electricity Price Prediction and Appliance Optimization System", pro- poses a smart solution that uses Artificial Intelligence to forecast electricity prices and suggest optimized appliance usage patterns to reduce electricity bills The system leverages a Long Short-Term Memory (LSTM) neural network to analyze and predict short-term electricity prices using historical data from the Kaggle NYISO dataset. LSTM is ideal for capturing time-based patterns in data, enabling accurate forecasting of price trends over the next 24 to 48 hours. These predictions provide users with insights into upcoming high-price periods. In parallel, the system incorporates appliance-level electricity consumption data, such as from the UK-DALE dataset, to analyze household usage patterns. By identifying which appliances consume the most energy and when, the system offers intelligent recommendations such as postponing the use of high-energy appliances during expensive hours helping users optimize their electricity consumption in real time. The output is delivered through a simple and intuitive interface, showing predicted prices, energy usage trends, and smart recommendations. Unlike traditional energy monitoring tools that offer only historical data, this system provides forward-looking, actionable in- sights. It is designed to be scalable, compatible with smart home systems, and adaptable to different pricing models. This project promotes energy efficiency, cost savings, and sustainable usage by empowering consumers to make informed decisions. It aligns with the goals of smart grid development and AI- driven sustainability, offering a practical solution to one of today's critical energy challenge
AI Based Smart Mirror Using Raspberry Pi
(NHCE, 2020) BHARATH SURYA 1NH17EE706 KAVITA SAH 1NH17EE718 RAKSHA S 1NH17EE745 SHAUN PHILIPOSE JOHN 1NH17EE748
Smart mirror is a wall mounted mirror which displays weather, time, news and other areas of interests. A smart mirror is basically a mirror with a screen behind it. That screen can be an Android tablet or a computer monitor. The objective of the Smart mirror is to give a passageway to a client to gather practical data that could influence the course of their everyday life. The idea of the smart mirror is presented with regards to the worldwide studies that guarantee men spend approx. The proposed framework is to plan an intuitive advanced brilliant mirror with man-made consciousness utilizing Raspberry Pi. In the proposed framework, the capacity of the framework to recognize the client and react as far as the main job, joining the hypothesis of man-made brainpower. Intelligent registering, with remotely associated inserted gadgets that are being utilized in different everyday exercises. In light of this innovation, numerous gadgets/items are currently arising and with this knowledge it is giving agreeable, secure and helpful individual administrations all over. The venture targets making a keen framework for clients where it perceives the client utilizing mediums like OpenCV. The mirror will perceive client's face and it will be prepared utilizing Raspberry Pi and show client's feeds. Client's test pictures will be put away in data set. This paper demonstrated a smart mirror device with a user-friendly architecture with many impressive features. Following a service-oriented approach, a stable and easy-to-use architecture was also introduced in this article. Since we are utilizing this mirror in a school climate, fundamental functionalities like a standardized tag scanner or unique finger impression sensor can be incorporated to satisfy essential assignments like school participation or program enlistments, and so on This could incorporate enrolling in programs by checking ID cards

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