1. Arbor Bars Brian Timm Amy Hartwig Ryan Brissette

2. Needs  Visitors find local hotspots  Students discover new establishments  Businesses gain increased exposure

3. Solutions  Provide comprehensive listings  Recommendations and favorites  Relevance and ease of use

4. Conceptual Layout

5. Architecture Restaurant + User Data Recommendation Algorithm PHP Ajax Application MySQL Database

6. Milestone Chart RyanAmyBrian Jan 14Server SetupGather restaurant dataGather Data, Install CVS Jan 21Populate DBWeb design, Initial LayoutWeb design, Security Jan 28Back-end Development (Database) Front-End Development (UI)Integration, Testing Feb 4Test/Finalize Demo Feb 11Design Friend SystemImprove UI/Layout Feb 18Implement Friend SystemImprove UI/Layout Feb 25Component Testing Mar 3System-wide TestingDesign Recommendation Algorithm Mar 10Implement Recommendation Algorithm Mar 17Functional Algorithm TestingAdditional Feature Implementation Mar 24Iterative Algorithm Improvement, Testing Mar 31Finalize Design, Complete System Testing Apr 7Final Presentations Apr 14Finalize Documentation/Project Wrap-up

7. Competition Table Arbor BarsYelpEatBlue Comprehensive Listings (Menus, Specials) Search User Reviews Order Online Upcoming Events Friend Suggestions/Favorites Recommendations

8. Competitive Advantage  Improved recommendations system Individual reviews and ratings Comprehensive preference system Friend favorites and suggestions

9. Challenges  Gathering updated information  Fine-tuning recommendations algorithm  Improved and simplified interface

10. Conclusion  Connect individuals and local businesses Comprehensive directory Personalized suggestions Relevant and useful results