Task Analyzer - Smart Task Analyzer (Assignment)

Overview

This repository contains a complete implementation of the "Smart Task Analyzer" assignment described in the provided PDF. The backend is implemented in Django (API endpoints use Django REST Framework patterns), and a simple frontend (HTML/CSS/JS) is provided to interact with the API.

What is included

• backend/: Django-like project scaffold (no migration requirement)
• backend/tasks/scoring.py: The core priority scoring algorithm and helpers
• backend/tasks/serializers.py, views.py, urls.py: API endpoint implementations (analyze & suggest)
• frontend/: index.html, styles.css, script.js (calls the API endpoints)
• requirements.txt
• tests/: unit tests for scoring algorithm (pytest compatible)
• README explains the algorithm, design decisions, and how to run locally.

How to create a GitHub repo and push (example)

1. Create a new repository on GitHub (e.g., task-analyzer).
2. From this project folder run:

   git init
   git add .
   git commit -m "Initial commit - Task Analyzer assignment"
   git branch -M main
   git remote add origin https://github.com/<your-username>/<repo-name>.git
   git push -u origin main

Replace <your-username> and <repo-name> accordingly.

Running locally (quick)

1. Ensure Python 3.8+ installed.
2. Create virtualenv and install deps:

   python -m venv venv
   source venv/bin/activate  # or venv\Scripts\activate on Windows
   pip install -r requirements.txt

3. Run Django development server:

   cd backend
   python manage.py runserver

4. Open frontend/index.html in a browser and use the UI. By default the frontend expects the API at http://127.0.0.1:8000/api/tasks/analyze/ and http://127.0.0.1:8000/api/tasks/suggest/.

Notes

• The backend is intentionally simple: it accepts task lists in the request body and returns computed scores (no DB necessary).
• Unit tests for the scoring algorithm are available in tests/test_scoring.py (use pytest to run).

Algorithm Summary

See backend/tasks/scoring.py and the detailed explanation in the project README included inside the backend folder.