AAC Awards Ceremony



AAC is a platform for many students with ingenious thinking, who are willing to take some initiative in experimentation of the latest technologies. Students who complete projects under AAC will be certified every year through an 'Award ceremony'.

This year around 38 projects were certified in the award ceremony which was conducted on 25th July 2019. Dr.Andugulapati.V.V.Prasad was the Chief Guest and M.G.Sekharam, the Chief Administrator of Gokaraju Educational Society was the Guest of Honour for the day. The website for AAC was officially launched. Srikanth and Rishwanth presented the features of the website.

Shruthi Gutta, a 4th year student,launched her book,'Internet Of Things'. This was followed by the “PROJECT EXPO”.

This year, for the first time, the road show of the completed projects under AAC has been organised. The road show began with the inauguration by the Chief Guest - A.V.V.Prasad,NRSC; Guest of Honor-M.G.Sekharam,Chief Administrator of Gokaraju Educational Society and Dean of AAC-Dr.Ramamurthy Suri. Projects displayed covered booming Domains of today’s world such as Internet of Things, Machine Learning, Deep Learning, Drone Technology, Web Development etc.

Some of the major projects demonstrated in the project expo includes:

  • Deep Learning KAR: This project is based on Raspberry pi computer, a camera, and a servo shield board to interface with R/C car. This project includes velocity control, shift control, communication, mode management, angle control, steer torque control, exception, pedal control DA/AD.
  • Image Editing Software Using OpenCV: This OpenCV is built to provide common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.
  • AI Powered Drone: This project is an autonomous navigation of drones in both indoors and outdoors. The outdoor applications of this project involve search for survivors in damaged buildings and inspect railroad tracks in tunnels. And indoor applications involve Indoor Surveillance and check stock on store shelves.
  • Talking Fingers: The main objective of this project is to support the deaf and dumb by helping them to vocalise their gestures. It’s built using Raspberry pi and programmed in Python.