[Python] Selecting and Managing Addresses in a Criminal Recognition and Tracking Desktop App...

Description:

I'm developing a desktop application for criminal recognition and tracking using [specify language/framework, e.g., Python with Tkinter, C# with .NET, etc.]. The app needs to handle address data for individuals, locations, or incidents, with features for selecting, storing, and managing addresses efficiently. The goal is to integrate address selection into a user-friendly interface for law enforcement or investigative purposes.

Key Requirements:

Address Selection: Implement a mechanism to select addresses from a database or external API (e.g., Google Maps API, OpenStreetMap) with autocomplete or dropdown functionality.
Data Storage: Store addresses in a local database (e.g., SQLite, MySQL) with fields for street, city, state, ZIP code, and country.
Validation: Ensure addresses are valid and standardized (e.g., using regex or an API for validation).
Search and Filter: Allow users to search or filter addresses based on partial input or associated records (e.g., linked to a specific individual or case).
Integration: Link addresses to other entities in the app, such as suspects, incidents, or surveillance points, with a relational database structure.
Security: Ensure address data is encrypted and access is restricted to authorized users, given the sensitive nature of the application.


Current Challenges:

How to efficiently implement autocomplete for address selection without overwhelming the UI or slowing down the app?
What is the best way to validate and standardize addresses to avoid duplicates or errors?
How to structure the database schema to link addresses with other entities (e.g., persons, cases) while maintaining performance?
Are there recommended APIs or libraries for address management in a desktop app, considering both free and paid options?
How to handle edge cases, such as incomplete addresses or international formats?


What I've Tried:

[Mention any attempts, e.g., "I experimented with Google Maps API for autocomplete but faced issues with rate limits," or "I set up a basic SQLite database but struggled with relational queries."]
[Describe any code or approach, e.g., "I used a dropdown for addresses, but it’s slow with large datasets."]

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