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

Decision Finder, a digital-first startup focused on improving everyday decision-making, aimed to offer real-time life advice powered by human insight and adaptive machine learning. The client approached Oodles to establish a full-stack environment that could support both intelligent data processing and a smooth user experience. 
Scope Of Work

The project centered on creating a development-ready environment to support real-time advisory workflows. The client sought clear backend setup instructions and a functioning frontend from Oodles to manage user interactions. Key areas of work included API integration, database setup, package dependency installation, and Angular-based frontend deployment to ensure complete functionality.
Our Solution

To support the Decision Finder platform, a structured terminal-based setup was delivered for both backend and frontend development. The backend utilized Django REST Framework to power data-driven advisory services, while the frontend was built using Angular for seamless user engagement.

Key features and implementation highlights:

  • Backend Setup with Django: Deployed using Python 3.8.10 for stable package support. REST APIs created to receive and process user input as form-data.
     
  • Frontend Integration with Angular 13.3.0: Node.js and Angular CLI installed to set up and serve the UI locally. Frontend is linked to backend APIs to offer a dynamic and responsive interface for user interaction.
     
  • Source Control via GitLab: Code repository managed on GitLab for streamlined collaboration and version control. Clear documentation provided for future developers to clone, build, and deploy the system easily.

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