Implement skill proficiency levels with backward compatibility and we…

[Shubham-Gotawade]

Summary

This PR introduces a new feature allowing users to specify their technical proficiency level (Beginner, Intermediate, Advanced) for each added skill. It maps these levels into a structured JSON payload and updates the underlying recommendation architecture to prioritize level-appropriate projects.

Related Issue

Closes #713

Type of Change

• Bug fix — resolves a broken behaviour
• Feature — adds new functionality
• Data — adds new projects to data/projects.json
• Documentation — updates docs, README, or code comments only
• Style — CSS or visual changes only, no logic change
• Refactor — restructures code without changing behaviour

What Was Changed

File	Change made
templates/index.html	Appended inline drop-down selector to the input container.
static/style.css	Styled new select tags and created inline badge labels inside rendering chips.
static/script.js	Updated tracking arrays to handle objects and serialized fields as JSON strings.
utils/recommender.py	Rewrote parse_skills to intercept legacy array strings with "Intermediate" fallbacks, and re-weighted matching points inside score_single_project.

Test Results

Verified locally. Form elements render seamlessly, database schemas transition safely without throwing data parsing exceptions on old/empty profile formats, and weighted scoring correctly changes recommendations dynamically.

Self-Review Checklist

• I have read CONTRIBUTING.md and followed all guidelines
• My branch name follows the convention: feat/, fix/, docs/, data/, style/, test/
• Every new function I wrote has a docstring
• I have not modified files outside the scope of the linked issue

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