Fall Semester 2018-19 Top Projects(Sophomores)
Project: Vit Assist
Guide: Prof Karthikeyan S
Aim of the project is to develop a Robot, assisting students, staff and visitors with our campus through interacting with it’s speech capabilities powered by a AI enable chat bot replying to important questions like (bus timings, event management etc) and also by being able to navigate its way autonomously in campus even on staircases giving it the ability to completely enhance the experience of people in the campus
Guide: Prof. Sibi Chakkaravarthy
A robotic arm is a type of mechanical arm, usually programmable, with similar functions to a human arm; the arm may be the sum total of the mechanism or may be part of a more complex robot. The end effector, or robotic hand, can be designed to perform any desired task such as welding, gripping, spinning etc., depending on the application. In some circumstances, close emulation of the human hand is desired, as in robots designed to conduct bomb disarmament and disposal. A typical robotic arm is made up of three metal segments, joined by three joints. The Arduino controls the robot by rotating individual Servo Motors connected to each joint. Unlike ordinary motors, Servo motors move in exact increments. This allows the Arduino to move the arm very precisely, replicating each and every movement of the human arm as is recoded by the Leap Motion Controller..
Project: Automated Farming Bot – FarmBuddy
Guide: Dr. Jagadish Mudiganti
FarmBuddy is aimed to provide an ease to framers. This AgriTech solution is an automated bot which is efficient in seed sowing, spreading fertilizers and spraying pesticides across the farm. FarmBuddy is also an application of IOT and ML where it gives features like crop planning, cultivation cost estimation, real time field tests results just by a single click on the FarmBuddy Mobile Application.
Project: Cashier less Market
Guide: Prof. M. Kalyan Chakravarthi
This project is inspired on the popular automated market, i.e. Amazon Go. It is basically a book store where one can go in with the help of RFID tag associated with their ID and then they just need to pick the book they want swipe it again over RFID reader, the reader reads the RFID value and sends it to the firebase and the firebase is again connected to an app which tells the user buying that book. The prototype envisions newer shopping experiences. .
|G Saket Kumar
Sonia Prakash Desai
P. S. N. Madhav
Project: Health Glove for Elderly People
Guide: Prof. S. KARTHIKEYAN
The motive of this project is to create a safe environment with cost effective measures for the elder people. This is a simple glove which an elder person can wear all the time. In case of emergency, that is in case they fall down and don’t get up in a certain period of time, a phone call is made to all their relatives nearby and an alarm is turned on outside the house. The same happens with the help of a panic button which they can press voluntarily in case on emergency. We have used an effective algorithm for fall detection and suitable software to make VoIP phone calls.
Project: ALLURE (HADOOP CLUSTER AND HOME AUTOMATED BOT)
Guide: Prof. S. KARTHIKEYAN
This project has a bot controlled by gesture which helps clean up the home and can also call to the nearest hospital automatically in case of emergency with an app which monitors your health. It comes with a total security system, cyclone detector, honeybee production, smog detector where all the analysis has been done using various machine learning algorithms using multi-cluster hadoop system.
Project: PYRO PLUS
Guide: Prof. Ajith Jubilson
This project is built using Raspberry Pi to inform the fire department if there is any fire accident in a house or an industry etc. We integrated firebase real time database in our android application to provide the user with all the status of sensors. It uses way2sms API to inform the fire department and telegram bot to inform the user when there is a fire accident.
Project: Authorization using RFID And Face Recognition
Guide: Dr. SUDHA ELISON MATHE
This project is based on RFID and Deep Learning. It is two level security system. Here Face recognition is used as first level security and RFID security lock for second level security. In first level deep learning is used to detect the faces of some authorized persons and give access to them for second level. In second level the authorized persons should use a RFID card provided to them. Once the card gets detected the door open automatically and after certain time the door closes automatically with the buzzer ringing. There can be bit more changes in the algorithm of deep learning for more accuracy.
|P. Pavan Kalyan
G. Saveera Reddy
A. Kanaka Srija
P. Yaswanth Kalyan
P. Sri Saranya
Project: Accident Avoiding System
Guide: Prof. Deepasikha Mishra
90% of accidents are due to drowsiness. Accident Avoiding System works like a Drowsiness Detection and Alerting System. It performs Face Detection and Eye Localization using OpenCV to Detect if the Driver is Drowsy (Blinking is not Considered). If the System finds the Driver Drowsy then it alerts the Driver using a Buzzer. After Alerting the Driver it also brings the Vehicle to Halt at a Safe Place and it also shares the Vehicle’s Location to a Close Contact using a GPS Module.
M. Sai Priyatham
K. Jai Surya
P. S. V. P. Deepak
K. V. Siva Prasad
Project: Smart Wheelchair
Guide: Prof. Deepasikha Mishra
Now a days, many countries are focusing on smart technology. Our Prime minister of India has also started Smart India and Digital India mission for competing with the other countries of the world. In present time, difficulties are not faced by abled person but are being faced by physically disabled and old aged person. So for their ease of living and getting a better life we came to an idea of smart wheelchair for physically disabled.It helps physically impaired persons to move from one place to another.
Challa Siva Raj Kumar
Guduru Pavan Sai
Gangireddy Janardhan Reddy
Project: LockSmith – Your Smart Home Security System
Guide: Dr. HARI SEETHA
‘LockSmith’ is a doorbell that brings to you the latest and most advanced features concerning security. With this product, you can monitor your home from your smartphone, tablet or PC. It has features like camera surveillance, door-chat, intruder alert system, live video streaming, image recognition, and a myriad of other features.
Fall Semester Top 3 Projects(Freshers)
Guide: Dr. ANOOP KUMAR MISHRA
Project Zeus promises to deliver a complete cashless and hassle-free experience. With its RFID payment portal and sided by an android app, it provides a seamless and cohesive experience during the payment. The app provides you with a niche way to check your expenses and current balance. The entire system data generated is backed by a hosting service on Firebase to maintain a log of the data.
Project: Smart Speaker
Guide: Dr. Sudhakar Ilango B
This is a smart speaker, similar to the one made by Amazon which is “Alexa” and the one made by Google which is “Google Home”. The difference between those products and our products is that, in the case of Alexa and Google Home , the speach data which we provide is being sent to the big data companies for their benefits. But in our prototype, we have our own Virtual Assistant built from scratch and has no linkage to any other Virtual Assistants. In our Virtual Assistant we have made sure that, your speach data will be sent in an anonymous way and we give the user their privacy.
Project: Smart Gloves for Mute people
Guide:Prof. Ravi Sankar Barpanda
This project is based on gesture control of the hand which results in commonly used phrases for conversing. Basically the Gloves works using two sensors which determines the gestures made and returns the respective data which is processed by the microcontroller, providing the audio accordingly. The device also contains an extra feature using relay that controls electrical appliances using gestures which can be further improvised for Home Automation. The Smart Glove makes it possible to use technology in an efficient way to help the Mute people to communicate and interact with the world in a better way.
|Chai Nathan S S
Ch. Naga Jayanth
Sandeep Rao K
Project: Smart Stick For The Blind
Guide: Dr. ARUN KUMAR SINHA
A Smart stick system concept is devised to provide a smart electronic aid for blind people. The system is intended to provide artificial vision and object detection, by making use of Raspberry Pi. The system consists of ultrasonic sensors, vibrational motor, and the feedback is received through audio, voice output works through TTS (text to speech). The proposed system detects an object around them and sends feedback in the form of speech, warning messages via earphone.
|Rishabh Singh Bais
Kota V.V.L Naga Datta Manoj
K.V. Sai Pavan Teja
Project: Raspberry Pi Solar Street light
Guide: Dr. ANOOP KUMAR MISHRA
This main goal of this project is to implement an auto-intensity control of the LED based street light system that uses solar energy to conserve electrical power on the street light by using raspberry pi board. As the traffic decreases slowly in late night hours, the intensity is reduced progressively till morning to save energy, and thus the street lights remain switched on at the dusk, and then switch off at the dawn automatically the process repeats everyday.
|N. Neha Sri
D. Vamsi krishna
Guide: Dr. Amit Kumar
MAYDAY is a Raspberry Pi based emergency response system which sends messages to the proper authorities in case of an emergency on the push of a button. The main goal of the project is to reduce the time taken in reacting and sending a distress signal to the concerned authorities at a time of crisis. All in all, the system will provide a great advantage over the existing emergency response models in a very consumer friendly and cost-effective way.
|Gurmehar Singh Soni
Sharaj Raja Chandran
SK Saddam Hussain
Rahul Ganesh Ragella
Project: Agro Automation
Guide: Prof. Asish Kumar Dalai
Our project aims to make the day to day working of an average Indian farmer easier. To fulfil this aim, we have a local weather. We have attached a soil quality test module that gives us the current values like soil moisture derived out of the sample. The highlight features of the project include an app controlled mobile vehicle which along with all other sub-modules, carries an app based drip irrigation system. The farmer shall be able to use the product to test the soil moisture and operate drip irrigation and obtain the localised weather forecast on our website.
TOSHIKA LYONA MICHAEL
KATHAL ADITYA RAJENDRA
RAYAVARAPU VENKATA SAI REVATHI
Project: Home Security Using Raspberry Pi
Guide: Dr.Saroj Kumar Panigrahy
There are many security cameras available in the market for safety and securing the desired place but this project will be budget friendly. In this project we want to implement an advanced security system to house with the help of Raspberry Pi in which the Python programming language will be used for more efficiency. When a stranger enters into that place it not only alerts the owner by sending an email but also it will send the photo of that stranger when it detects any. Raspberry pi is used to control the whole system. The photo of the stranger will be taken by Pi camera. This system can be installed at the main door of your home or office and the user can monitor it with email from anywhere.
|K S K Srimanth
K J Sowmini
R S Gowtham
Project: Home Auto Machine Using Raspberryy PI
Guide: Prof. Amogh Katti
This project is about controlling home appliances using Android application.Now a days humans are busy in their daily life and few of us are forgetting to turn off electrical appliances. So to save electricity we are going to use Android application like Telegram.This is just like a chat with our friends.We are going to give commands in chat like “on led or on fan”,”off led or off fan”.We can further use other home appliances. So that we can control home appliances from anywhere when we are connected to Ethernet or Internet.
Project: IOT Based Complete Home Automation
Guide: Prof.Venkata Rajasekhar Nuthakki
This project is based on IOT.Homes of 21st century become self-controlled and automated due to comforts it provide. This prototype shows you how future home are going to be.We can operate all the switches of lights,fans,TV etc from our mobile or laptop and also it gives protection to your home by sending you message/mail if anyone enters into house in your absence.
|Shanmukh sai Thummala
Praveen Kumar Meka
Sai Vardhan T
Project: Smart Mirror
Guide: Dr. Soubhagya Sankar Bharpanda
The aim of this project is to show how everyday objects can be turned into smart objects. Every morning our day begins by watching ourselves at least once in mirror leaving our homes. We interact with it psychologically to find out how we look and how our attire is. Smart mirror is one of the applications of raspberry pi. It’s a futuristically looking device that displays data on the mirror surface such as various notifications from sources such as news agencies, weather stations and more things. Such mirrors can be programmed to control various smart home appliances by voice input.
Project: The Automated Shop
Guide: DR. Umakanta Nanda
The whole point of our project is to replace the need of human laborers and use machines instead for transactions of consumables. We thought of places like airports and bus stands and railway stations and thought this would be a good idea to implement. There are vending machines already in the above-mentioned places but ours is a unique one as it is based on RFID (Radio Frequency Identification Device) cards, envisioning a POS based transaction system. The model number of our RFID is RC522 and the whole program is based on the Raspberry Pi 3B provided by the university.
|Avala Deepthi Bavani
Draksharam Naga Sri Charan
Nitin Krishna Mucheli
Chinta Praneeth Daniel
A telepresence robot is a remote-controlled, wheeled device with a display to tnable video streaming which enable the participants to view remote locations, as if they were there. The project consist of a VR headset, with a smartphone in dual screen to experience virtual reallity and 3 wheeled robotic vehicle. Te movement of the Robot is controlled using a remote controller. The motion of the camera of the robot is controlled by the accelerometer and magnetometer data processed by Arduino and Raspberry Pi. Video streamed is received by the smartphone using the ip address specified by the Raspberry Pi.