Slide 1: Introduction "Good morning. I'm [Your Name], presenting our project on improving school scheduling systems."

"We're examining how to transition from spreadsheet-based systems to database solutions with AI capabilities."

Slide 2: Current System Limitations "School schedules face challenges with spreadsheet-based management:"

• Data duplication across multiple files
• Manual searching required for information
• Updates don't sync across files
• Limited real-time access

Slide 3: Project Objectives "Our goals address these limitations:"

• Create single source of truth
• Enable instant queries
• Ensure data consistency
• Provide mobile access

Slide 4: Methodology "We followed a systematic approach:"

• Analyzed current spreadsheet structure
• Designed normalized database
• Built data migration tools
• Created query interface
• Implemented validation systems

Slide 5: Schedule Complexity "We identified why spreadsheets are insufficient:"

• Students in multiple groups simultaneously
• Different schedule modules
• 5+ simultaneous affiliations per student
• Requires checking multiple files

Slide 6: System Architecture "We designed complete system diagrams:"

"Data Flow Diagram shows workflow"

"Entity Relationship Diagram shows database structure"

"Both address current limitations"

Slide 7: Database Design "17 connected tables with no data duplication."

"Structured to handle complexity"

"Single connection point through Schedule Entries table"

"Replaces manual cross-referencing"

Slide 8: Functional Prototype "Telegram bot demonstrates efficiency:"

• Finds student locations instantly
• Shows complete schedules
• Displays tomorrow's schedule

"Response time: less than 1 second"

Slide 9: Technology Stack "Implementation tools:"

• Python for data processing
• SQLite database
• Telegram bot platform
• Pandas for data transformation
• Flask for API integration

Slide 10: Future Development "Next implementation steps:"

• Full system deployment
• Parent/student web portal
• AI scheduling optimization
• Analytics dashboard

Slide 11: Conclusion "This project demonstrates:"

• Database solutions address spreadsheet limitations
• Significant efficiency improvements possible
• Foundation for future AI development
• Practical implementation approach

Thank You "Our database system addresses current scheduling challenges while providing foundation for future development."

"Questions about the implementation or benefits?"

Performance Metrics:

• 90% less data entry
• < 1 second queries
• 1000+ user support

System Comparison:

Current:
Multiple spreadsheets

Proposed:
Unified database

Key Benefits:

• No duplicate data
• Instant queries
• Real-time access

Presentation Complete

11 slides total
Approximately 8 minutes