Dhara Parekh

The Pet Security System will have accurate documents that are easy to retrieve and will reduce both paperwork and manual record-keeping, making it easier to keep track of medical records, reduce client wait times, and serve more users. The system will keep track of the pet's wellbeing by sending out a note to the staff about the patients need to go to the veterinary hospital for follow-up check-ups, expired vaccinations, grooming, and other facilities provided by the system.

In this research paper, we used a deep learning algorithm to train a Convolutional Neural Network (CNN) on a fully annotated dataset from Kaggle that included four different categories of animals to classify different animals in the form of image classification from the dataset. This research analyses the approaches and algorithms used in the implementation of the network, as well as the various stages in its training and testing. The paper also proposes a solution to classify the animals using… Show more

In this research paper, we used a deep learning algorithm to train a Convolutional Neural Network (CNN) on a fully annotated dataset from Kaggle that included four different categories of animals to classify different animals in the form of image classification from the dataset. This research analyses the approaches and algorithms used in the implementation of the network, as well as the various stages in its training and testing. The paper also proposes a solution to classify the animals using the dataset and aims to provide the appropriate number of epochs and the algorithms used to train, test and validate the model. (I have achieved a test accuracy of 99.19% for this model using deep learning algorithms.) Show less

The project described in this report suggests an architectural model based on an object-oriented design to implement E-Library in schools and Universities. The School Library management system is designed for the students to view their e-book online if the admin(lecturer) issue it to them. It can also be used as a normal library management system inside libraries which can store, retrieve user data and calculate fine and other functions to help the admin.

The goal of this project is to create a software application designed to optimize retail operations related to hotel booking systems. Travel smart will act as an appropriate portal for guests to log into the system and to understand the availability of rooms and facilities to be given. Individuals have unprecedented access to an overwhelming amount of product knowledge with the fast-growing market for digital devices that will help them make buying decisions. The use of smart apps to search… Show more

The goal of this project is to create a software application designed to optimize retail operations related to hotel booking systems. Travel smart will act as an appropriate portal for guests to log into the system and to understand the availability of rooms and facilities to be given. Individuals have unprecedented access to an overwhelming amount of product knowledge with the fast-growing market for digital devices that will help them make buying decisions. The use of smart apps to search, compare, research, order and review hotel goods and services is increasingly reliant on travellers. The main purpose of developing such a system is to provide the user with a single platform where they can be able to find their accommodation place as per their requirements and also based on the availability of the rooms; along with this they have a privilege to even view the rooms and amenities before booking and can access their bookings any time they want which makes our system serve its purpose very conveniently. Show less

The aim of this project is to detect and recognise a human, from a given image or from a camera (live web-cam) and match it with the database returning the correct details identifying all image regions containing a face irrespective of its three-dimensional position, orientation and lighting conditions.
Based on the research conducted and the theoretical approach for the project this report examines how facial recognition technology uses software to create a model by processing images of… Show more

The aim of this project is to detect and recognise a human, from a given image or from a camera (live web-cam) and match it with the database returning the correct details identifying all image regions containing a face irrespective of its three-dimensional position, orientation and lighting conditions.
Based on the research conducted and the theoretical approach for the project this report examines how facial recognition technology uses software to create a model by processing images of human faces to recognise and confirm the identity of a person. The main purpose of building such a system is that it can really be very helpful in terms of security, data-hiding and privacy. Show less

In this research paper, we propose a model based on the Artificial Neural Network developed in MATLAB to identify and analyze medical data from the Wisconsin database to prognosis and diagnose breast cancer. Breast cancer is a severe and life-threatening disease very commonly found in women. The irregular development of breast cells is the main source of breast cancer and these cells may be of two types: malignant (cancerous) and benign (noncancerous). These types must be treated with proper… Show more

In this research paper, we propose a model based on the Artificial Neural Network developed in MATLAB to identify and analyze medical data from the Wisconsin database to prognosis and diagnose breast cancer. Breast cancer is a severe and life-threatening disease very commonly found in women. The irregular development of breast cells is the main source of breast cancer and these cells may be of two types: malignant (cancerous) and benign (noncancerous). These types must be treated with proper medication and therapy. This paper discusses the various stages in the training and development of the network and explores the methods and algorithms used in the implementation. It also aims to provide the appropriate number of neurons/layers for the Artificial Neural Network and illustrates the implementation of the model's preparation, training testing and validation of the given datasets (in our case by using the 4-fold cross-validation, an accuracy of 91.198 per cent was achieved). Show less

In this project, we decided to build a cross-platform-based mobile application that will run on Android and iOS. It is a ‘Voice-Based Reminder Application - RemME’ which includes four main technologies, i.e. CRUD (Create, Read, Update, and Delete), Location Awareness, Access to phone resources (gallery) and accelerometer (shake detection). We use special notes or messages every day to inform us of upcoming activities. Such so-called "Reminder" is of several types, including post-it notes… Show more

In this project, we decided to build a cross-platform-based mobile application that will run on Android and iOS. It is a ‘Voice-Based Reminder Application - RemME’ which includes four main technologies, i.e. CRUD (Create, Read, Update, and Delete), Location Awareness, Access to phone resources (gallery) and accelerometer (shake detection). We use special notes or messages every day to inform us of upcoming activities. Such so-called "Reminder" is of several types, including post-it notes, emailing, to-do lists, and electronic notifications. Reminders can be more helpful if correct contextual information is used to display them at specific moments and places. Show less

This paper analyses and compares the two stenographic tools OpenPuff and StegoShare. Both the tools will be evaluated in similar scenarios based on a specific criterion to define their strengths and weaknesses. For conducting the comparisons, random text files or images with hidden messages and random images are used with both the tools considering the functionality of each product, the platforms supported, the time of planning and execution, the resources to be used by the tools, the ease of… Show more

This paper analyses and compares the two stenographic tools OpenPuff and StegoShare. Both the tools will be evaluated in similar scenarios based on a specific criterion to define their strengths and weaknesses. For conducting the comparisons, random text files or images with hidden messages and random images are used with both the tools considering the functionality of each product, the platforms supported, the time of planning and execution, the resources to be used by the tools, the ease of use and the implementation of steganography tools for hiding information. All methods will be evaluated based on the criteria with the use of a table and at the end; a conclusion will be drawn on the results of the experiments. Show less

In this project, we are designing and implementing a database system in Oracle on a ticket booking agency called ‘FlightEagle’ in London. As the company was traditionally using the old file systems to maintain their database, but due to technological advancement, they have to expand their setup. So, the new database system created will replace the old fashioned file system.