Vijay Manikanta Paturi

O An attempt to make the image recognition model better with various methods.

O Adopted method is the usage of the ResNet as a feature extractor for yolo model.

O Dealt with libraries like ImageNet for the inbuilt models of resnet and yolo, sklearn and keras for the preprocessing.

o Idea to get deep learning and cybersecurity together.

o Used a deep convolution neural network to detect the malicious network packets entering the system and drop if threat.

o Dealt with scapy library for network packets dissection and sklearn and keras library for neural network construction.

o Focused on working with speech models and getting knowledge over the approaches used for processing audio.

o I chose to convert the audio data into spectrograms and pass it into CNN to recognize the patterns of the waves produced by different voices.

o Dealt with the IPython library to manage the audio clips.

o Focused on how recommendation systems work and how to deal with NLP data.

o Built attention network model for content based recommendation systems

o Dealt with sklearn, keras and other libraries like numpy, pandas, matplotlib, etc.

o Desktop application built to tackle the situation of long waiting time to board buses.

o Developed by using java.

o Dealt with the Xamp server and gained knowledge on database management.

o Demo model for the location tracker using the Arduino and GSM sim modules.

o Provides the accurate coordinates of a person with a click of button. Incase of emergency, it might send a message to people for help in the same click of button.