final-project for CS50 and CS12.

One concentrated on Python/Flask routing, the other on Javascript functionality. I can't remember which one this is and I wont figure it out until I go to rebuild it on a new framework.

Valuator Tool: A Real Estate Appraisal Application

Valuator Tool is an interactive web application designed to simplify the real estate appraisal process. With built-in mapping, database storage, and user-friendly forms, this tool demonstrates practical applications of database integration, API use, and intuitive design as part of CS50.

Features

1. Dynamic Input Forms:

   • Multi-step forms for property and comparables data entry.
   • Auto-filled fields using Google Maps API (manual overrides included).

2. Interactive Mapping:

   • OpenStreetMap integration for real-time property visualization.
   • Automatic geocoding with live updates as data is entered.

3. Database Integration:

   • Persistent data storage in SQLite for user accounts and property data.

4. Advanced Navigation:

   • Spreadsheet-like keyboard navigation for grid-based inputs.

5. User Customization:

   • Editable dropdowns, narrative fields, and manual input flexibility.

6. Future Feature - PDF Export:

   • Planned implementation for professional-grade report generation.

Why This Project Stands Out

1. Real-World Utility:

   • Designed with feedback from real estate professionals.
   • Addresses repetitive tasks, reduces errors, and saves time.

2. Interactive Features:

   • Google Maps API and OpenStreetMap integration.
   • AI-prepopulated narratives for appraisal reports.

3. Built to Scale:

   • Room for future integrations (e.g., PDF export and additional APIs).

Technologies Used

HTML, CSS, JavaScript (Leaflet.js, Google Maps API) Python (Flask Framework) SQLite Planned: WeasyPrint for PDF report generation.

Installation Instructions

Prerequisites

• Python 3.12 or higher.
• SQLite installed on your system.

Steps

1. Install Python Dependencies: $ pip install -r requirements.txt

2. Initialize the Database: $ python app.py

3. Run the Application: $ flask run

4. Access the App: Open http://127.0.0.1:5000 in your browser.

---

How to Use

1. Login or Register:

   • Admin and user roles supported (admin interface planned).

2. Form Step 1:

   • Enter basic property details, such as address and property type.

3. Form Step 2:

   • Add subject and comparable properties for analysis.

4. Save and Continue:

   • Save data to the database and prepare reports (future versions).

---

Video Demonstration

Watch the demonstration video here: https://youtu.be/O2Wjtj4JM28

---

Acknowledgments

This project was developed as part of CS50, combining theoretical concepts with practical applications. Special thanks to real estate professionals who provided feedback during development.

CS50 Final Project © 2024 Carrie Snow