| --- |
| title: AICELS |
| emoji: 🔥 |
| colorFrom: yellow |
| colorTo: indigo |
| sdk: gradio |
| app_file: app.py |
| pinned: false |
| license: mit |
| short_description: AI Code Evaluation and Learning System - Correctness First |
| --- |
| |
| # 🎓 AICELS: AI-Powered Code Evaluation and Learning System |
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| **Correctness First, Quality Second** |
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| AICELS evaluates Python code in two phases, then makes recommendations: |
| 1. **Priority 0 - Correctness**: Does your code run without errors? |
| 2. **Quality Assessment**: How well does it follow best practices? |
| 3. **How can it be improved?**: AIFCEL suggests a learning path |
|
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| ## Features |
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| - ✅ Syntax and runtime error detection |
| - 📊 PEP 8 compliance checking |
| - 📝 Documentation quality assessment |
| - 🎯 Naming convention validation |
| - 📚 Personalized learning paths |
| - 🏆 Quality grading (A/B/C/D) |
|
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| ## How to Use |
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| 1. Paste your Python code in the input box |
| 2. Click "Evaluate Code" |
| 3. Review your correctness status and quality grade |
| 4. Follow the personalized learning path to improve |
|
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| ## Philosophy |
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| Unlike traditional code quality tools, AICELS prioritizes functional correctness before style. |
| No amount of beautiful formatting can fix code that doesn't work! The app was developeded following extensive consultations and discussions with the community of teachers and educators |
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| ## Development |
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| Developed collaboratively by Paola Di Maio (Ronin Institute, W3C AI Knowledge Representation Community Group) with AI Coding agents that she is becoming embedded with. |
|
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| Currently in testing phase. Colab version working well, HF deployment being refined. |
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| --- |
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| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
