Food Bot for Tourists to Singapore
The objective of this project is to create a chatbot that will guide tourists in Singapore in their food adventures in Singapore, providing them with information on popular local food and eateries quickly and efficiently. Confronted with a bewildering amount of information on websites and food guides, it can be a difficult for tourists to decide where to dine. Hence, we decided to develop a chatbot to assist tourists in their search for popular eateries during their stay in Singapore, providing them with concise information instantaneously.
Search results of popular hawker centres and restaurants returned to users are customised based on their food preferences and budgets. In addition, the chatbot can also provide information on famous local dishes.
Official Full Name | Student ID (MTech Applicable) | Work Items (Who Did What) | Email (Optional) |
---|---|---|---|
Ng Mei Ying | A0198546L | • DialogFlow (Dining Info intents). • Project Report |
e0402087@u.nus.edu |
Edmund Leow | A0198458H | • DialogFlow (Get Restaurant Information intent) • User Guide • Video |
e0401999@u.nus.edu |
Wilson Lum Kok Keong | A0198478A | • DialogFlow (Knowledge Base, Web Scraping) • Heroku deployment • Chatbot testing |
e0402019@u.nus.edu |
Video available on Youtube at https://youtu.be/oConFfc9yFE
Please refer to the user guide documentation in this repository for:
- System Requirements
- Steps on installation and deployment
- Steps on running of the system demo
- Test Scenarios
<Github File Link>
: https://github.com/eleow/IRS-CS-2019-07-01-IS1FT-GRP-OliveFoodBot/blob/master/UserGuide/User%20Guide.pdf
The Project Report can be downloaded from this repository. Direct Link can be found below.
<Github File Link>
: https://github.com/eleow/IRS-CS-2019-07-01-IS1FT-GRP-OliveFoodBot/blob/master/ProjectReport/Project%20Report.pdf
This Cognitive Systems (CGS) course is part of the Analytics and Intelligent Systems and Graduate Certificate in Intelligent Reasoning Systems (IRS) series offered by NUS-ISS.