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Technologies Involved:
CHATBOT
Area Of Work: Machine Learning
Project Description

Jarvis, an AI-powered interaction platform, simplifies enterprise communication through intelligent automation. The client required a clean and developer-friendly backend setup to streamline development and improve team productivity. To meet this, the project focused on building a reliable, easy-to-use local setup using Python 3.6, Django, and virtual environments for efficient execution.
Scope Of Work

The project aimed to create a repeatable and stable backend development setup. The client needed a simplified configuration process from Oodles, covering Python virtual environments, dependency installation, database setup, and local server deployment. Key areas of work included backend isolation, Django configuration, and database migration to ensure efficiency and ease of access for future updates.
Our Solution

To ensure efficient backend development, a detailed local deployment plan was created for the Jarvis platform using Python 3.6 and Django. 

Key features: 

  • Codebase Access: The project was cloned directly from GitHub to provide version-controlled access.
  • Dual Dependency Installation: All packages were installed using pip install -r requirements.txt.
  • Django Database Commands: Used makemigrations and migrate to set up and sync.
  • Server Launch: Backend was successfully deployed locally using python manage.py runserver.

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