Developed and Organized Diamond Pricing Web App

• Day: 2024-04-23
• Time: 22:25 to 23:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Git, Docker, Web Application, Machine Learning, File Structure

Description

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.

Evidence

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• event_ids: []