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--- |
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title: AICELS |
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emoji: 🔥 |
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colorFrom: yellow |
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colorTo: indigo |
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sdk: gradio |
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app_file: app.py |
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pinned: false |
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license: mit |
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short_description: AI Code Evaluation and Learning System - Correctness First |
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--- |
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# 🎓 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: |
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1. **Priority 0 - Correctness**: Does your code run without errors? |
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2. **Quality Assessment**: How well does it follow best practices? |
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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 |
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- 📊 PEP 8 compliance checking |
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- 📝 Documentation quality assessment |
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- 🎯 Naming convention validation |
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- 📚 Personalized learning paths |
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- 🏆 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 |
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2. Click "Evaluate Code" |
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3. Review your correctness status and quality grade |
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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. |
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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 |
