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game-development--rummy-in-c- icon game-development--rummy-in-c-

It is you versus the computer. User (you) goes first; this alternates each hand. Players earn points by melding cards from their hand into the meld area. Players may meld a set of cards once they have at least 3 of a kind. Each turns starts with picking up a card, and ends by discarding a card. The hand continues .If both players end with same points, player with more points wins. If you want the first card from your hand you would enter 0. If choosing multiple cards use one space between numbers. The first letter or number is the rank and after the dash is the suit of the card. When melding cards, always tell which cards you want to meld from your hand in decreasing location order. And when telling the computer these meld spots, terminate your entries with a "-1โ€.

javaproject-online-food-ordering-system icon javaproject-online-food-ordering-system

The project Online Food Ordering System is developed on Java and Sql. The main purpose of this system is to sell food in online. The project intends different types of forms containing different option for the users like buying and selling food. In this application, customers can give orders from any place and pay cash on delivery. Once the user place the details of the food available, the customers can buy that food by ordering it.

listing-page-of-movies-using-the-omdb-api-front-end- icon listing-page-of-movies-using-the-omdb-api-front-end-

1. Search box is added to search for movies 2. When the user presses the search button it redirect to a new page which shows the relevant details of the movie 3. If the search doesn't match anything then relevant error message is shown 4. Past 5 recent searches is shown, each recent search should be a link to the relevant details page.

python--face-recognition-based-attendance-system icon python--face-recognition-based-attendance-system

1.Introduction: The human face plays an important role in our social interaction, conveying peopleโ€™s identity. Using the human face as a key to security, biometric face recognition technology has received significant attention in the past several years due to its potential for a wide variety of applications in both law enforcement and non-law enforcement. As compared with other biometrics systems using fingerprint/palmprint and iris, face recognition has distinct advantages because of its non-contact process. Face images can be captured from a distance without touching the person being identified, and the identification does not require interacting with the person. In addition, face recognition serves the crime deterrent purpose because face images that have been recorded and archived can later help identify a person. 2.Recognition Process: Face Recognition Process is classified into three Phases as DataCreation Phase,Training Recognizer Phase,Detection Phase. 2.1 DataSet Creation Phase In this phase, pictures are captured and stored it in Dataset Folder. 2.2 Training Recognizer Phase In this Phase,the dataset is feed to LBPH Recogniser and trained the classifier. 2.3 Detection Phase In this Phase,the classifier is feed with new image and predicts the image either with known or unknown values. 3. Updating Attendance Finally the Image names and their attendance is marked in Excel sheet by camparing the current Id and Id in the sheet.

traffic-light-simulator-in-emu8086 icon traffic-light-simulator-in-emu8086

Steps in Project: Draw the traffic lights at each side of the street. Traffic light has three colors: red, yellow, green. Case 1: represents signal 1 is green and others are red. Case 2: represents signal 2 is green and others are red. Case 3: represents signal 3 is green and others are red. Case 4: represents signal 4 is green and others are red. In each case, we have green delay and yellow delay at which the car moves. The car will not move at red delay If the car travels in 60km per hour then it will not stop in any signal.

web-scrapping-python icon web-scrapping-python

Requisites: pip install requests pip install bs4 or pip install beautifulsoup4 pip install pandas pip install lxml or pip install html5lib Store the Results: filename: output.json Note: After running the program, we will obtain the squeezed text. We can copy and paste it in a text file.( I have saved as Output_Web_Scrapping.txt) It will take some time to create the json file. Until process ends , dont kill that. ( I have stored the results in Output1.json)

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