Python Screening Tasks – Submission Summary

All three tasks have been completed. This README provides a quick overview of deliverables, how to run the demo(s), where to find reasoning answers, and screenshots.

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Task 1: UI/UX Enhancement (Django – Workshop Booking)

• Location: Task1_UI_UX_Enhancement/
• Repo used: https://github.com/FOSSEE/workshop_booking
• What’s included:
  • Implemented responsive UI improvements (mobile-first), consistent spacing/typography, accessible tap targets, and stable navigation.
  • Before/after screenshots in Task1_UI_UX_Enhancement/screenshots/.
  • Detailed reasoning and notes in Task1_UI_UX_Enhancement/README.md.

Run locally

1. cd Task1_UI_UX_Enhancement
2. pip install -r requirements.txt
3. python manage.py migrate
4. python manage.py runserver
5. Open http://127.0.0.1:8000/

Screenshots

• Before: Task1_UI_UX_Enhancement/screenshots/before/
• After: Task1_UI_UX_Enhancement/screenshots/after/

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Task 2: AI Debugging Assistant Prompt

• Location: Task2_AI_Debugging_Prompt/
• What’s included:
  • Final prompt and detailed reasoning in Task2_AI_Debugging_Prompt/README.md.
  • A minimal demo.py (optional) to illustrate usage context if needed.

Reasoning answers (tone, guidance vs. solutions, adaptation by level) are documented in the task README.

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Task 3: Evaluating Open Source Models for Student Competence Analysis

• Location: Task3_Model_Evaluation/
• What’s included:
  • A concise, 2‑paragraph research plan with criteria, approach, and trade‑offs in Task3_Model_Evaluation/README.md.
  • Setup notes and an optional demo outline are described within the task README.

Reasoning answers (suitability, testing meaningful prompts, trade‑offs, model choice) are documented in the task README.