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UberEats_Japan_Python_Selenium_webscraping_
portfolio
Sakura_Science_Japan_Tour_2019_December
Japan Cultural Exchange and IOT-Ruby WorkshopAmbula-Ambulance-booking-application-s-website
Website for Ambula – Give information about Ambula application and how it works.Maven_BankApplication
maven_bankapplicationServletMVC_bankApp
ervletmvc_bankAppSpringWebApplication
springwebAppCar-Rental-System
this is my first project. CAR RENTAL SYSTEM developed using JAVA and NetBeans.IDE.MachineLearning_Kmeans_MiniBatch_KMeans_Hierarchical-Clustering_mallcustomer_clustring_unSupervised
Images-processing-real-time-face-nose-eyes-mouth-detection-and-offline-face-detection
Images processing real timesface, nose , eyes, mouth detection and offline face detectionStudent-Course-enroll---ASP.NET-web-service-application
Student course enroll system including add, delete, edit student/courses with relevant enrollsJavaFx_simple_calculator
JavaFx_simple_calculatorFirstAidTips--Android-application
Android application for first aid, it includes all first aid steps for many emergencies with relevant images. Easy to access in the emergency moment without any internet access to give first aid for the patient until the ambulance arrived.Taberogu-Japan-Webscraping-PYTHON-beautifulsoup-
scrape a website called https://tabelog.com/ to get all details of restaurants in Tokyo, Saitama, Nagoya, Chiba and Kanagawa . NAME , CONTACT NUMBER, ADDRESS and RATINGSExpense-management-system--ASP.NET-MVC
ASP.NET MVC Web application which can store all expenses, able to create expense categories and relevant to each category to store expense with the amount of expenseSinhala-Handwriting-Character-Recognition-based-on-Feature-Extraction
This project describes a basic approach, taken for Sinhala handwritten character recognition based on feature extraction. The research was performed with the idea of identifying most efficient and accurate method, based on character geometry-based feature extraction technique for Sinhala handwritten character recognition. Data acquisition, digitalization, preprocessing, feature extraction was done using the digital image processing techniques. The classification was measured using an ANN based classifier on a common testing and training data sets. The classification performance was measured for 34 Sinhala characters using this research. Finally, recognized Sinhala handwritten character will be printed on a text documentLove Open Source and this site? Check out how you can help us