Initial MVP Template

GEOG 288KC: Geospatial Foundation Models and Applications

Initial MVP Presentation (Due: Week 7)

Student Name: [Your Name]
Project Title: [Your Project Title]
Presentation Date: [Date]

MVP Overview (1-2 minutes)

Problem Recap (30 seconds): - [Brief reminder of the problem you’re solving]

Current Status (1 minute): - [What have you accomplished so far?] - [What is working in your current implementation?]

Technical Implementation (3-4 minutes)

System Architecture:

[Include a simple diagram or flowchart of your system]
Data Input β†’ Preprocessing β†’ Model β†’ Post-processing β†’ Output

Key Components Implemented: - [x] Data loading and preprocessing pipeline - [x] Model setup and configuration
- [x] Basic training/fine-tuning workflow - [ ] Advanced evaluation metrics - [ ] Visualization dashboard - [ ] Scalable deployment

Technology Stack: - Data Processing: [e.g., Earth Engine, rasterio, xarray] - Model Framework: [e.g., PyTorch, TorchGeo, HuggingFace] - Visualization: [e.g., Matplotlib, Folium, Plotly] - Infrastructure: [e.g., UCSB AI Sandbox, local development]

Live Demonstration (4-5 minutes)

Demo Script (prepare talking points for each step):

  1. Data Loading Demo (1 minute):
    • [Show loading and preprocessing of your specific dataset]
    • [Highlight any data challenges you’ve solved]
  2. Model Inference Demo (2 minutes):
    • [Run your model on sample data]
    • [Show inputs and outputs clearly]
  3. Results Visualization (1-2 minutes):
    • [Display results in an intuitive format]
    • [Compare with baselines or ground truth if available]

Preliminary Results (2-3 minutes)

Quantitative Results: - Dataset Size: [Number of samples, spatial/temporal coverage] - Model Performance: [Key metrics with numbers] - Processing Time: [Inference speed, training time]

Example Results Table: | Metric | Baseline | Your Model | Notes | |——–|β€”β€”β€”-|β€”β€”β€”β€”|β€”β€”-| | Accuracy | XX% | YY% | [Context] | | F1-Score | XX | YY | [Context] | | Processing Speed | XX sec | YY sec | [Context] |

Qualitative Observations: - [What patterns or insights have you discovered?] - [What works well? What doesn’t work as expected?]

Challenges and Solutions (2 minutes)

Technical Challenges Overcome: 1. Challenge: [Specific technical problem] Solution: [How you solved it]

  1. Challenge: [Another problem] Solution: [Your approach]

Current Limitations: - [What are the current limitations of your system?] - [What assumptions are you making?]

Next Steps and Timeline (1-2 minutes)

Immediate Goals (Week 8): - [ ] [Specific technical improvement] - [ ] [Additional evaluation or validation] - [ ] [User interface or API development]

Final Implementation Goals (Week 9-10): - [ ] [Advanced features or optimizations] - [ ] [Comprehensive evaluation and comparison] - [ ] [Documentation and reproducibility]

Risks and Contingencies: - [What could go wrong? How will you adapt?]

Questions for Feedback (1 minute)

Specific Areas Where You’d Like Input: 1. [Technical question about approach or implementation] 2. [Question about evaluation methodology]
3. [Question about scope or next steps]

Open Discussion: - [Any other areas where peer feedback would be valuable]

MVP Demonstration Checklist

Before Your Presentation:

During Presentation:

After Presentation: