niketha-s Goto Github PK

airlines-ticket-reservation

This C++ coding makes it easier for the user to manage the reservation. Airlines reservation system(ARS) is a part of the so-called passenger reservation system(PRS), which is an application supporting direct contact with the passenger. This computer-based system is used for the reservations of a particular airline and interfaces with other global distribution channels in making reservations for most major airlines in a single system

covid-19-visuvalisation

creditcard-fraud-detection

data-visualization

decision-tree-and-support-vector-machine

fake-news-detection

hospital-management-system

The purpose of this project is to computerize the Office Management of Hospital to develop software that is user-friendly simple, fast, and cost–efficient. It deals with a collection of patient data. The main function of this system is to register and store patient details and doctor details and retrieve these details as and when required.we can recover patient’s history with a single click. Thus processing data will be faster. It guarantees accurate maintenance of Patient details.

java-app-with-maven

sample java project with maven

java-programs

maven

meal-planning-tool-api-

Created a webpage by extracting nutrition data from APIs to plan the meal for a person, based on the input provided. Segregated with categories with various customized diet plans .BMI will also be calculated according to the input provided.

medical-ministrations-a-chatbot

Medical chatbot using webscrapping

sparks-internship-tasks

student-management-system

student-result-management-system

supervised-and-unsupervised-ml

Supervised ML is Used to predict the accuracy score of a Student .K-means ,Clustering is used as a part of Unsupervised ML for prediction.

terrain-identification-using-neural-networks

Performed various data augmentation tasks such as window cropping, smote on a terrain dataset, and implemented a LSTM model on the preprocessed data to identify different terrains from sensors attached to the person’s lower limb. This model gave an accuracy of 93% on the training set and a F1 score of 0.88 on the hidden test set.

test

virtual-medical-chatbot