Develop a web-based application that enables citizens to interact seamlessly with publicly available information: AI Programming Project, Coursework

Objective

Develop a web-based application that enables citizens to interact seamlessly with publicly available information regarding a specific process or transaction with the government. The application should consolidate information or data from multiple official or trustworthy sources, facilitate a deeper understanding through interactive engagements, and present the relevant information in the way that is customised based user inputs and in the highly effective formats for the users to consume the information.

📝Overview of Specifications

The application should:

Consolidate Information:Aggregate data from various official and trustworthy sources that are publicly accessible to provide a unified repository of information related to the chosen domain area.
Personalize User Experience:Allow users to input generic, non-personally identifiable information to receive tailored guidance and information relevant to their specific scenarios.
Enhance Understanding:Generate interactive content, including explanations, elaborations, and responses to follow-up questions, facilitating a deeper comprehension of the process.
Presenting the Information Effectively:Present information through a combination of various formats such as text, data tables, data visualizations, and interactive forms to enhance user engagement and understanding.

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⭐️Potential Domain Areas

Learners can choose any of the following domain areas to focus on for their capstone project:

Buying HDB flat in the resale market
Navigating Healthcare Coverage and Protection (MediShield Life and Medisave)
Understanding CPF (Central Provident Fund) Policies
Starting a Business (Business Registration and Licensing)
Applying for Financial Assistance Schemes: Assistance with applications for schemes like ComCare or the Silver Support Scheme
Understanding Environmental Regulations (Waste Management and Recycling)

🔧Use Cases for the Multi-Page Streamlit App

EACH application must implement AT LEAST TWO USE CASES.
Each use case represents a pivotal feature that addresses specific user needs in the chosen domain area. The examples of use cases are shown as below:

[ Example] Domain Area: Understanding CPF (Central Provident Fund) Policies

Retirement Planning Simulator:

This use case will allow users to simulate various retirement scenarios based on information, such as their retirement goals, current CPF savings, expected contributions, and retirement age. Users can adjust parameters to see how different financial choices affect their retirement funds, helping them make informed decisions about their financial future, housing decision, based on accurate and latest information about CPF policy.

CPF Policy Explainer with Interactive Scenarios based on User Inputs:

Users can explore different CPF policies through interactive scenarios that illustrate how various policies apply to real-life situations (e.g., housing withdrawals, healthcare financing). This feature will enhance understanding by allowing users to see the practical implications of CPF policies in their lives.

Deliverables

Web Application:

A fully functional, deployed web application accessible via a URL, demonstrating all required features and the two specified use cases.
The suggested platform for deploying the web application is Streamlit Community Cloud.
It is recommended to password protect the application.

Documentation (As Pages within the Streamlit App):

In addition to the webpages that include the required features and functionality, your Streamlit app MUST contain the following two additional pages:

“About Us” Page:

A detailed page outlining the project scope, objectives, data sources, and features.

“Methodology” Page:

A comprehensive explanation of the data flows and implementation details.
A flowchart illustrating the process flow for each of the use cases in the application. For example, if the application has two main use cases: a) chat with information and b) intelligent search, each of these use cases should have its own flowchart.

Source Code (Upon Request):

Well-documented Python code for the web application, including all scripts related to data processing, LLM integration, and UI components.

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