Difference between revisions of "Signal Proposal"

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GeBIZ is a Singapore Government’s one-stop e-procurement portal which facilitates tender activities between Singapore government and local and overseas suppliers. Currently, there is no available tool to aid the public and ministries to understand and gain insights on the procurement made by the government under each ministry. Hence, we are motivated to create an interactive visualisation tool on government's procurement spending to allow the public and ministries to identify spending patterns and gain insights into procurement spending under each ministry.  
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This project aims to provide the public and motorists more information about road accidents that have occurred, the causes of it, and how individuals can do their part to reduce road accidents.  
 
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Revision as of 00:43, 28 January 2019


TEAM

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER


PROBLEM & MOTIVATION

This project aims to provide the public and motorists more information about road accidents that have occurred, the causes of it, and how individuals can do their part to reduce road accidents.

OBJECTIVES

In this project, we are creating a geovisualisation that is able to show the following:

  • Gain an overview of traffic accident hotspots
  • Explore possible correlations with traffic accidents
  • Identify zones which are more prone to accidents

SELECTED DATASETS

TO BE FILLED!

BACKGROUND SURVEY OF RELATED WORKS

TO BE FILLED!

TOOLS & TECHNOLOGIES

Tools and technologies
TO BE FILLED!

Data Architecture
TO BE FILLED!

KEY CHALLENGES

The following are some of the key technical challenges that we may face throughout the course of the project:

Key Challenges Mitigation Plan
Unfamiliarity with R and Rshiny Libraries
  • Attend R Shiny Workshop
  • Independent learning via online resources such as Datacamp
  • Ask team mates for help
Unfamiliarity with Libraries for Machine Learning and Web Crawling
  • Clean, transform and analyse data together
  • Independent learning via online resources
Data Cleaning and Transformation
  • Need to crawl data on website to obtain training data for text classification
  • Clean, transform the data together


TIMELINE

TO BE FILLED!

REFERENCES


TO BE FILLED!

COMMENTS

Feel free to leave us some comments so that we can improve!

No. Name Date Comments
1. Insert your name here Insert date here Insert comment here
2. Insert your name here Insert date here Insert comment here
3. Insert your name here Insert date here Insert comment here