Project List
01219335 Data Acquisition and Integration
First Semester, 2019. Section 450
This project will calculate and show the graph of the average temperature for each region in Thailand and also show the average temperature of Thailand. The data that use in this project will get from API and also get from the form that provides for the user to fill in for each region. This project also provides API to share the calculated average temperature that fetches from the database.
A web application that shows the statistics of the TOP10 Teams also can see the ranking of the basketball team in this league in the past 5 years in a visualization that you easy to understand! Moreover, the comparison between the 2 teams competing together is provided too you can easily see the percentage of their winning rate!
A weather website that uses an API to collect and display weather information from many countries and integrates a database.
This project will collect oil price with web scraper to show it on graph with NodeRed. The all collected oil price data will send to MySQL database(everyday). This project can show where are the petrol station that have lowest oil price and where are the petrol station that have expensive oil price .
Measure and collect the data of the greenhouse's brightness, temperature and having the outside temperature get by API then having the function to track the height of the plant and also have online API to get to data of that plant by inserting the name and visualize in the website.
A companion for your fast food diet guide. A REST API that provides essential nutrition facts on every most fast food restaurant, also with data visualization which shows all the data from the database.
This project contains API for searching the health insurance details that users can compare the property in each insurance company and match their disease to a supported insurance program.
To get the picture from Instagram, analyze them in terms of which color use the most.
About movie information similar to that of IMDB. Get title, year, Metascore rating, IMDB rating, release date, genre, directors, writers, actors, plot, award, posters, and etc. Moreover, it has an insight page to provide deep information that would be beneficial for investors.
This project will analyze results of Football Premier League also show match statistics like shot total, fouls commit, etc.
Analyzing daily temperature of our hometown(3 provinces) For example, We can predict which day of season will start.(Winter will be 1 Dec for Bangkok, but 20 Nov for Khonkaen.)
