📅 2024-04-23 — Session: Developed and Organized Diamond Pricing Web App
🕒 22:25–23:25
🏷️ Labels: Git, Docker, Web Application, Machine Learning, File Structure
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to advance the development of a diamond price prediction project, focusing on both the backend predictive model and the frontend web application.
Key Activities
- Git Management: Reviewed Git push history and cloned specific branches to manage the version control effectively.
- Project Planning: Outlined the goals for a diamond price prediction model and its integration into a web application using Flask and Docker.
- Docker Setup: Provided detailed instructions for setting up a Docker environment to run the diamond price prediction application.
- File Structure Organization: Established a comprehensive file structure with usage scenarios to facilitate model training, testing, and API interactions.
Achievements
- Successfully planned the integration of machine learning models into a Flask web application.
- Created a clear file and directory structure to support ongoing development and testing.
Pending Tasks
- Further development of the predictive model and its deployment within the web application.
- Testing of the Docker setup and ensuring seamless integration with the web app.