| Sep - Oct | - Analyse different proposed ideas’ feasibility and effectiveness
- Research and literature review of computer vision-based localization
- Design interface for Mobile application
| Done |
| Oct - Nov | - Collect data in Main Building (1st floor)
- Research in different image classification/ object detection machine learning model
- Construct mobile application
- Data processing (image labelling, mapping)
| Done |
| Nov - Dec | - Build and train shortlisted machine model
- Perform hyperparameter tuning for each model
- Evaluate and select model with best performance
| Done |
| Dec - Jan | - Prepare interim report and presentation
- Prepare rough demo for interim presentation
| Done |
| Jan - Feb | - Compare and select appropriate path searching algorithm
- Expand model dataset
- Evaluate extensive use of GPT4 on vision-based localization
- Fine tuning the model
| Done |
| Feb - Mar | - Debug and improve mobile application
- Integrate navigation mechanism to mobile application
- Retrain model with expanded dataset
- Perform user testing
| Done |
| Mar - Apr | - Prepare final report
- Source code cleanup
- Prepare PowerPoint and Demo/Demo Video for final presentation
- Prepare for the project exhibition and project competition
| Done |