Engineering Clinics

 

The concept of Engineering Clinics is drawn from the idea that engineers too require a place to get hands on expertise of knowledge gained from the courses studied in class, just as their medical counterparts. The only difference in this kind of clinic is hands-on experience with no consequence of objects destroyed, unlike their medical counterparts. Salient Points

  • • A ‘First in the Country’, hands-on course in every semester.
  • • A theme based practical learning in every semester carrying credits.
  • • Multi-disciplinary group (students from all programmes) of 5-6 students.
  • • Groups can select to work on a specific topic from a large group (140-150) of tasks, or projects related to real world problems.
  • • Each group has a faculty coordinator/Instructor who will guide/evaluate the overall group as well as individual students.
  • • The students have to display their model in the ‘Engineering Clinics Expo’ at the end of semester.
 


Fall Semester Top 3 Projects

Project: Autonomous Humanoid Robot

Guide: Dr. Purna Chandra N

This project is based on open source Amazon Alexa. It is basically a humanoid with all human like resemblance and movements along with voice control feature. The prototype envisions modular artificial personal assistant, which can be modified to work under any situation like security guard, babysitter, smart home hub, etc. The humanoid interacts with the Amazon Alexa, a cloud based intelligent personal assistant and with the machine learning feature, the prototype gets smarter every day.

 

Batch CodeThemeReg.NoStudents NamePrize
ECF17040
FALL SEM
Arduino Based Projects17BEC7047
17BCE7067
17BME7071
17BCE7054
17BCN7042
K Rajesh Sai
Isha Patro
Akshay Nandan
Kotni Gayatri
Nimmagaddar Prapul

First

 

Project: Arduino Controlled Robot

Guide: Dr. Kalyan Chakravarthy

Production rate of the country is directly proportional to its GDP & manual labour, no matter how long the work hours are. Not to mention factors such as population of India and low technology level binds us to use manual labour. In response to this problem we decided to make our project an autonomous Arduino controlled robotic arm. It is made to pick up multiple materials like coffee cups to unused particles, it picks up almost everything. Since it’s an automated machine, it never tires out and can perform predefined functions over and over again. This will reduce requirement of manual labour and hence contribute to the overall rate of production.

 

Batch CodeThemeReg.NoStudents NamePrize
ECF17090
FALL SEM
Arduino Based Projects17BEC7050
17BCN7014
17BME7043
17BME7058
17BCD7031
PARITHOSH POOJARY
DEEPSAGAR MANDAL
PIYUSH YADAV
ANKAN NARAYAN
SIVANI GANGARAPOLLU

Second

 

Project:Automated Intelligent Green House

Guide: Mr. Karthikeyan S

The main aim of this project is to minimize the human care needed for plants by automating the greenhouse and monitoring the in-house environment status. The project also aims at creating an automatic greenhouse controller that can monitor and control the temperature, humidity, light and soil moisture levels to user defined values. The controller would need some way for the readings to be displayed and for the user to update the settings. This greenhouse is designed and built with the aim of providing any specific need for the type of plant the user wants to grow.

 
 

Batch CodeThemeReg.NoStudents NamePrize
ECF17021
FALL SEM
Arduino Based Projects17BCD7043
17BCE7063
17BCE7051
17BEC7057

17BME7065
NIKHIL KAPU
ANAMIKA
PYUSH MOTWANI
PLABINI PN
NILANSH
Third

 
 


Winter Semester Top 3 Projects

Project: RFID system for finding books

Guide: Mr. Jagadish Mudiganti

This project proposes an RFID system for finding books. The built RFID reader was made from off-the-shelf components and was seen to operate reliably and appropriately in different circumstances. It is a robust and easily tuneable passive UHF RFID tag which is designed to operate within books. The main benefit of RFID technology is that it relies on the ability to track items in the inventory rapidly without the requirement of line of sight to the target.

 
 

Batch CodeThemeReg.NoStudents NamePrize
17WSEC284
WIN-SEM
Raspberry Pi based projects17BCD7001
17BCE7002

17MIS7011
17BES7002
17BES7022
SHUBH AGARWAL
HIMANSHU MEHNDIRATTA
SAMARTH KODESIA
ANKUR RUNGTA
HIRANMAYA MISHRA

First

 

Project: Object and Face Recognition Using Machine Learning

Guide: Dr. Soubhagya B

Computer vision is one such field that packs in a wide array of real-world applications. This project consists primarily of two parts, one being object detection and the other being face recognition. The project achieved its own objective with cutting edge machine learning classifiers, algorithms and processing power of Raspberry pi. Object detection identifies 83 objects from the coco data set and the face recognition can be trained on any face of our choice. There can be a few more changes made to algorithm of classifier to make the predictions more accurate, maintaining the accuracy and reducing the time to train in facial recognition.

 
 

Batch CodeThemeReg.NoStudents NamePrize
17WSEC231
WIN-SEM
Raspberry Pi based projects17BCD7011

17BME7050

17BCE7116

17BCE7138
17BEC7025
EDUPUGANTI PRABHAT
CHITTELLA HARSHA VARDHAN
DANDIBHOTLA BALA KOTESWARA SASTRY
MANTHENA SAI KRISHNA
RAVI VAMSI

Second

 

Project: IOT BASED INDUSTRIAL AUTOMATION

Guide: Dr. Soubhagya B

The scope of the project is to automate the miniature scale industry so that this can be coverted to a larger scale on successful completion of the process. It uses Internet of Things(IOT) to create connection between industries and as a result create a hierarchy which will enable to give better quality and quantity check so as to enable the auditing to be an easier process

 

Batch CodeThemeReg.NoStudents NamePrize
17WSEC230
WIN-SEM
Raspberry Pi based projects17BCD7045
17BCD7016

17BCE7036
17BEC7007
17BME7045
DHRUV BATTA
CHIMATA VENKAT NIKHIL CHOWDARY
TIMIR PATEL
VAISHNAVI MANIKANTAN
SURAJ RAVISHANKAR
Third