Amba Bhavani

To secure a challenging position in this organization in order to improve skills and work for the growth of the organization.

• Father's Name: Vuduthala Venkataiah Goud
• Date of Birth: 11/29/99

Automatic Car Parking System using IOT

Automatic Car Parking System, Primary parking places, such as car parks or parking spaces (non-automatic), car parks, multiline car parks, etc. are carried out extensively. But in these allocations there is a great loss of consumption of the large space that is pressed using "automatic mode". In an independent door, the car will stay in the entrance and then inside a parking space with a demonstration structure. Likewise, they are enhanced by the display structure and kept to be thrown at the driver's exit.

Women safety system using GPS & GSM

 Design and Implementation of Women Safety System using GPS & GSM, The world is becoming unsafe for women in all aspects. The crime against women is increasing at a higher rate. The employed women are feeling unsafe due to increasing crimes.This paper proposes a quick responding mechanism that helps women during trouble. When someone is going to harass, she can just press the button and the location informationis sent an SMS alert to a few predefined numbers in terms of latitude and longitude. The purpose of this project is to feel safe for women. 

Optimal feature based medical image classification using CNN

Optimal feature based medical images classification, The main goal of the paper is to derive an optimal feature selection model for effective medical image classification. To enhance the performance of the DL classifier, PCA(Principle Component Analysis) algorithm is proposed. The PCA algorithm picks the optimal features from preprocessed images were selected for the analysis. Finally, the optimal features improved the classification result and increased the accuracy, specificity and sensitivity in the diagnosis of medical images. The proposed results were implemented in Python and compared with existing feature selection models and other classification approaches. The proposed model achieved the maximum performance in terms of accuracy around 90% for given dataset.