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🐍 🏫 Developed a Python-based application to automatically generate a dynamic and optimal exam schedules based on different aspects:
    professors' availability, student count, room capacity, and back to back scheduling
☁️ Prompted and modified Claude 3.5 Sonnet v2 to generate dynamic schedules considering the listed factors
🪨 Integrated AWS bedrock for AI orchestration, AWS S3 for secure data storage
✨ Used Figma for a user interface prototype tailored for different user groups
👍 Automates the scheduling process and reduces manual workload for university administration staff

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