Mandadapu Sadvik Reddy

• Created a website on Beauty Parlor and window instance in AWS with IP address to the domain of route 53 service in AWS. Using Amazon Route 53, a scalable cloud DNS web service designed to translate names into numeric Ip addresses. Managed end-users to the endpoint of application to AWS region. Managed the traffic globally through different routing types like Geo DNS, Latency Based Routing

A Platform For Plant Disease Identification Using Deep Learning

CNN (Convolution Neural Network) algorithm to build our model. Using Html, CSS and JavaScript, we created a website along with Django Python framework to create web application. MySQL is used to validate user credentials.

Libraries: Opencv (Open Source Computer Vision) used for Image Processing. TensorFlow for numerical computation using data flow graphs.

Also,I did a Research Paper for the project

Key Achievements: During initial training and validating, there is a huge loss of data with very less accuracy. After using 50 EPHOCS we have obtained accuracy of 99.48% with validation accuracy ‘1.0’ which is said to be the best.