diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 0000000..15b923a --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1,16 @@ +# CODEOWNERS — automatically request reviews for matching paths + +# Global owner — reviews all PRs by default +* @Goldokpa + +# GitHub config and workflows +/.github/ @Goldokpa + +# ML models and training +/src/climatevision/models/ @Goldokpa +/src/climatevision/training/ @Goldokpa + +# API, frontend, docs +/src/climatevision/api/ @Goldokpa +/frontend/ @Goldokpa +/docs/ @Goldokpa diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 0000000..59d2530 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,26 @@ +version: 2 +updates: + # Python dependencies (pip) + - package-ecosystem: "pip" + directory: "/" + schedule: + interval: "weekly" + open-pull-requests-limit: 10 + reviewers: + - "Goldokpa" + + # GitHub Actions + - package-ecosystem: "github-actions" + directory: "/" + schedule: + interval: "monthly" + reviewers: + - "Goldokpa" + + # Node / npm (frontend) + - package-ecosystem: "npm" + directory: "/frontend" + schedule: + interval: "weekly" + reviewers: + - "Goldokpa" diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 0000000..1db5343 --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,34 @@ +## Summary + + + +## Related Issue + +Closes # + +## Type of Change + +- [ ] Bug fix +- [ ] New feature +- [ ] Breaking change +- [ ] Documentation update +- [ ] Refactor / code cleanup +- [ ] CI / build / tooling change + +## Key Changes + + + +## Testing + +- [ ] Unit tests pass locally (`pytest tests/`) +- [ ] Manual API test (curl / OpenAPI docs) +- [ ] Frontend smoke test (`npm run dev`) +- [ ] New tests added for this change + +## Checklist + +- [ ] Code follows project style (black/ruff for Python, eslint for frontend) +- [ ] Self-review completed +- [ ] Documentation updated where needed +- [ ] PR targets the `develop` branch (not `main`) diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..120ae56 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,58 @@ +# Changelog + +All notable changes to ClimateVision will be documented in this file. + +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). + +--- + +## [Unreleased] + +### Added +- SECURITY.md — private vulnerability reporting via GitHub Security Advisories +- CODEOWNERS — automatic review assignment to @Goldokpa +- Pull request template for structured contributor guidance +- Dependabot configuration for pip, npm, and GitHub Actions updates +- CHANGELOG.md (this file) +- CITATION.cff for GitHub "Cite this repository" button + +### Changed +- CODE_OF_CONDUCT.md — replaced placeholder email with GitHub private reporting link + +### Removed +- SETUP_COMPLETE.md — internal artifact moved out of public repo +- team_docs/ — internal role documents moved out of public repo + +--- + +## [0.2.0] — 2026-03-04 + +### Added +- FastAPI REST backend with paginated run history and stats endpoint +- React dashboard with interactive bbox map, Recharts analytics, and confidence gauges +- U-Net semantic segmentation for deforestation and arctic ice detection +- Siamese network change detection +- Google Earth Engine integration with cloud masking and 256×256 tiling +- MLflow experiment tracking +- ONNX model export +- Flood detection analysis type +- NGO management — organisation registration, region subscriptions, email/webhook alerts +- Full OpenAPI docs at `/docs` + +### Changed +- README rewritten to concise FastAPI-style format + +--- + +## [0.1.0] — 2026-03-04 + +### Added +- Initial repository structure and governance files +- Basic project scaffold (src layout, config, notebooks, scripts) +- MIT License +- Contributing guide and Code of Conduct + +[Unreleased]: https://github.com/Climate-Vision/ClimateVision/compare/v0.2.0...HEAD +[0.2.0]: https://github.com/Climate-Vision/ClimateVision/compare/v0.1.0...v0.2.0 +[0.1.0]: https://github.com/Climate-Vision/ClimateVision/releases/tag/v0.1.0 diff --git a/CITATION.cff b/CITATION.cff new file mode 100644 index 0000000..0890f7a --- /dev/null +++ b/CITATION.cff @@ -0,0 +1,29 @@ +cff-version: 1.2.0 +message: "If you use ClimateVision in your research, please cite it using this file." +type: software +title: "ClimateVision: Open-Source AI Platform for Environmental Monitoring" +version: "0.2.0" +date-released: "2026-03-04" +url: "https://github.com/Climate-Vision/ClimateVision" +repository-code: "https://github.com/Climate-Vision/ClimateVision" +license: MIT +abstract: > + ClimateVision is an open-source machine learning platform that detects + environmental change from satellite imagery. It uses deep learning + (U-Net, Siamese networks) to monitor deforestation, arctic ice melting, + and flooding, giving conservation NGOs and researchers automated alerts + without manual analysis. Built on Sentinel-2 and Landsat data via + Google Earth Engine, it runs as a REST API with a React dashboard. +keywords: + - climate + - machine-learning + - satellite-imagery + - deep-learning + - remote-sensing + - deforestation + - google-earth-engine + - fastapi + - u-net +authors: + - name: "ClimateVision Contributors" + website: "https://github.com/Climate-Vision" diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md index 7855bf7..a2e6986 100644 --- a/CODE_OF_CONDUCT.md +++ b/CODE_OF_CONDUCT.md @@ -1,77 +1 @@ -# Code of Conduct - -## Our Pledge - -We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. - -We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community. - -## Our Standards - -Examples of behavior that contributes to a positive environment for our community include: - -- Demonstrating empathy and kindness toward other people -- Being respectful of differing opinions, viewpoints, and experiences -- Giving and gracefully accepting constructive feedback -- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience -- Focusing on what is best not just for us as individuals, but for the overall community - -Examples of unacceptable behavior include: - -- The use of sexualized language or imagery, and sexual attention or advances of any kind -- Trolling, insulting or derogatory comments, and personal or political attacks -- Public or private harassment -- Publishing others' private information, such as a physical or email address, without their explicit permission -- Other conduct which could reasonably be considered inappropriate in a professional setting - -## Enforcement Responsibilities - -Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful. - -Community leaders have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, and will communicate reasons for moderation decisions when appropriate. - -## Scope - -This Code of Conduct applies within all community spaces, and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. - -## Enforcement - -Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at: - -- #email - -All complaints will be reviewed and investigated promptly and fairly. - -All community leaders are obligated to respect the privacy and security of the reporter of any incident. - -## Enforcement Guidelines - -Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct: - -### 1. Correction - -**Community Impact**: Use of inappropriate language or other behavior deemed unprofessional or unwelcome in the community. - -**Consequence**: A private, written warning from community leaders, providing clarity around the nature of the violation and an explanation of why the behavior was inappropriate. A public apology may be requested. - -### 2. Warning - -**Community Impact**: A violation through a single incident or series of actions. - -**Consequence**: A warning with consequences for continued behavior. No interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, for a specified period of time. This includes avoiding interactions in community spaces as well as external channels like social media. Violating these terms may lead to a temporary or permanent ban. - -### 3. Temporary Ban - -**Community Impact**: A serious violation of community standards, including sustained inappropriate behavior. - -**Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban. - -### 4. Permanent Ban - -**Community Impact**: Demonstrating a pattern of violation of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals. - -**Consequence**: A permanent ban from any sort of public interaction within the community. - -## Attribution - -This Code of Conduct is adapted from the Contributor Covenant, version 2.1, available at https://www.contributor-covenant.org/version/2/1/code +# Code of Conduct## Our PledgeWe as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.## Our StandardsExamples of behavior that contributes to a positive environment for our community include:- Demonstrating empathy and kindness toward other people- Being respectful of differing opinions, viewpoints, and experiences- Giving and gracefully accepting constructive feedback- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience- Focusing on what is best not just for us as individuals, but for the overall communityExamples of unacceptable behavior include:- The use of sexualized language or imagery, and sexual attention or advances of any kind- Trolling, insulting or derogatory comments, and personal or political attacks- Public or private harassment- Publishing others' private information, such as a physical or email address, without their explicit permission- Other conduct which could reasonably be considered inappropriate in a professional setting## Enforcement ResponsibilitiesCommunity leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful.Community leaders have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, and will communicate reasons for moderation decisions when appropriate.## ScopeThis Code of Conduct applies within all community spaces, and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event.## EnforcementInstances of abusive, harassing, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement by opening a [GitHub Security Advisory](https://github.com/Climate-Vision/ClimateVision/security/advisories/new) in this repository.All complaints will be reviewed and investigated promptly and fairly.All community leaders are obligated to respect the privacy and security of the reporter of any incident.## Enforcement GuidelinesCommunity leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct:### 1. Correction**Community Impact**: Use of inappropriate language or other behavior deemed unprofessional or unwelcome in the community.**Consequence**: A private, written warning from community leaders, providing clarity around the nature of the violation and an explanation of why the behavior was inappropriate. A public apology may be requested. diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 0000000..3d2feca --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,43 @@ +# Security Policy + +## Supported Versions + +ClimateVision is under active development. Security fixes are applied to the latest release on the `main` branch. + +| Version | Supported | +| ------- | ------------------ | +| 0.2.x | :white_check_mark: | +| < 0.2 | :x: | + +## Reporting a Vulnerability + +**Please do not report security vulnerabilities through public GitHub issues, discussions, or pull requests.** + +Instead, please report them privately using GitHub's built-in Security Advisory system: + +- Go to the [Security tab](https://github.com/Climate-Vision/ClimateVision/security) of this repository. +- Click **"Report a vulnerability"**. +- Fill out the form with a description of the issue, steps to reproduce, and (if known) a suggested fix. + +You should receive an initial response within **5 business days**. If the issue is confirmed, we will work on a fix and coordinate disclosure with you. + +## Scope + +**In scope:** + +- Vulnerabilities in the ClimateVision API (`src/climatevision/api/`) +- Vulnerabilities in the React dashboard (`frontend/`) +- Vulnerabilities in the data pipeline, model inference, or authentication flow +- Dependency vulnerabilities not already tracked by Dependabot + +**Out of scope:** + +- Issues in third-party services (Google Earth Engine, MLflow, etc.) — please report those upstream +- Self-inflicted issues from running with debug or development configuration in production +- Missing security best-practices without a demonstrated exploit + +## Disclosure Policy + +We follow a coordinated disclosure model. After a fix is released, we will publish a GitHub Security Advisory crediting the reporter (unless anonymity is requested). + +Thank you for helping keep ClimateVision and its users safe. diff --git a/SETUP_COMPLETE.md b/SETUP_COMPLETE.md deleted file mode 100644 index e4fb39f..0000000 --- a/SETUP_COMPLETE.md +++ /dev/null @@ -1,463 +0,0 @@ -# ClimateVision Project - Setup Complete! 🎉 - -## ✅ What's Been Created - -Your ClimateVision project is now ready to start development! Here's everything that's been set up: - -### 📦 Core Package Structure - -``` -ClimateVision/ -├── src/climatevision/ ✅ Main package -│ ├── __init__.py ✅ Package initialization -│ ├── config.py ✅ Configuration management -│ ├── models/ ✅ ML models (COMPLETE) -│ │ ├── unet.py ✅ U-Net & Attention U-Net -│ │ └── siamese.py ✅ Siamese Network for change detection -│ ├── utils/ ✅ Utilities (COMPLETE) -│ │ ├── metrics.py ✅ Evaluation metrics & loss functions -│ │ ├── visualization.py ✅ Plotting & visualization -│ │ └── geospatial.py ✅ Geospatial utilities -│ ├── data/ 📝 TODO (Engineer 2) -│ ├── inference/ 📝 TODO (Engineer 4) -│ └── api/ 📝 TODO (Engineer 4) -``` - -### 📚 Documentation Files - -``` -✅ README.md - Comprehensive project overview -✅ CONTRIBUTING.md - Contribution guidelines -✅ PROJECT_STRUCTURE.md - Codebase organization guide -✅ GETTING_STARTED.md - Developer onboarding guide -✅ LICENSE - MIT License -``` - -### 🔧 Configuration Files - -``` -✅ setup.py - Package installation -✅ requirements.txt - Python dependencies -✅ .gitignore - Git ignore rules -``` - -### 📓 Notebooks - -``` -✅ notebooks/01_quickstart.ipynb - Getting started tutorial -``` - ---- - -## 🚀 What Works Right Now - -### 1. Models Module ✅ -- **U-Net**: Semantic segmentation for forest/non-forest classification -- **Attention U-Net**: Improved segmentation with attention mechanism -- **Siamese Network**: Change detection between two time periods -- **Early Fusion Network**: Alternative change detection approach - -**Test it**: -```python -from climatevision.models import UNet, SiameseNetwork -import torch - -# U-Net for segmentation -model = UNet(n_channels=13, n_classes=2) -x = torch.randn(1, 13, 256, 256) -output = model(x) # Shape: (1, 2, 256, 256) - -# Siamese for change detection -siamese = SiameseNetwork(in_channels=13) -before = torch.randn(1, 13, 256, 256) -after = torch.randn(1, 13, 256, 256) -change_map = siamese.predict_binary(before, after) -``` - -### 2. Utilities Module ✅ - -**Metrics**: -- IoU, Dice coefficient, pixel accuracy -- Segmentation metrics (F1, precision, recall) -- Change detection metrics (confusion matrix, kappa) -- Custom loss functions (Dice Loss, Focal Loss) - -**Visualization**: -- Satellite image display (RGB, false color) -- Prediction overlays -- Change detection maps -- NDVI calculation and visualization -- Training history plots - -**Geospatial**: -- Coordinate transformations -- Area calculations (hectares, carbon loss) -- Bounding box operations -- GeoTIFF metadata generation -- Tile generation for large images - -**Test it**: -```python -from climatevision.utils import ( - calculate_iou, - visualize_prediction, - calculate_carbon_loss -) -import numpy as np - -# Calculate metrics -pred = np.array([[0, 1], [1, 1]]) -target = np.array([[0, 1], [1, 0]]) -iou = calculate_iou(pred, target, num_classes=2) - -# Estimate carbon loss -deforestation_ha = 100 -carbon_loss_tons = calculate_carbon_loss( - deforestation_area_ha=deforestation_ha, - biomass_density_t_per_ha=150 -) -``` - -### 3. Configuration System ✅ -- Project paths management -- Model hyperparameters -- Sentinel-2 band configurations -- Automatic directory creation - ---- - -## 📝 What Needs to Be Built (Next 3 Months) - -### Month 1: Foundation (Weeks 1-4) - -#### Week 1-2: Data Pipeline (Engineer 2) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Implement Sentinel-2 data loader (`data/sentinel2.py`) -- [ ] Create Landsat data loader (`data/landsat.py`) -- [ ] Build PyTorch Dataset class (`data/dataset.py`) -- [ ] Add preprocessing pipeline (`data/preprocess.py`) -- [ ] Implement data augmentation (`data/augmentation.py`) - -**Success Criteria**: Load and preprocess one Sentinel-2 tile - -#### Week 1-2: Training Infrastructure (Engineer 1) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Create training loop (`training/trainer.py`) -- [ ] Add model checkpointing (`training/checkpointing.py`) -- [ ] Implement evaluation framework (`training/evaluator.py`) -- [ ] Add training callbacks (`training/callbacks.py`) - -**Success Criteria**: Train U-Net on synthetic data with logging - -#### Week 3-4: Initial Model Training (Engineer 1 & 2) -**Priority**: MEDIUM -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Find and curate public forest datasets -- [ ] Train baseline U-Net model -- [ ] Evaluate on test set -- [ ] Document results in notebook - -**Success Criteria**: >85% accuracy on public dataset - -#### Week 3-4: Carbon Estimation (Engineer 3) -**Priority**: MEDIUM -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Implement Random Forest regressor (`models/carbon_estimator.py`) -- [ ] Add XGBoost model -- [ ] Create validation framework -- [ ] Implement uncertainty quantification - -**Success Criteria**: RMSE < 20 tons/ha on validation set - -### Month 2: Advanced Features (Weeks 5-8) - -#### Week 5-6: Change Detection (Engineer 1) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Train Siamese network -- [ ] Optimize change detection performance -- [ ] Add temporal smoothing -- [ ] Create change detection notebook - -**Success Criteria**: F1 > 0.90 on test set - -#### Week 5-6: Batch Processing (Engineer 4) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Create inference pipeline (`inference/predictor.py`) -- [ ] Implement batch processor (`inference/batch_processor.py`) -- [ ] Add ONNX optimization (`inference/onnx_optimizer.py`) -- [ ] Write post-processing utilities - -**Success Criteria**: Process 100 images in <5 minutes - -#### Week 7-8: API Development (Engineer 4) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Set up FastAPI application (`api/main.py`) -- [ ] Add prediction endpoints (`api/routes.py`) -- [ ] Implement authentication -- [ ] Add rate limiting -- [ ] Write API documentation - -**Success Criteria**: API responds in <100ms per request - -#### Week 7-8: Model Optimization (Engineer 1 & 3) -**Priority**: MEDIUM -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Hyperparameter tuning with Optuna -- [ ] Model quantization for speed -- [ ] Ensemble methods -- [ ] Uncertainty quantification - -**Success Criteria**: 2x faster inference, same accuracy - -### Month 3: Deployment & Scale (Weeks 9-12) - -#### Week 9-10: Dashboard (Team Effort) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Set up React project (`frontend/`) -- [ ] Create map component (Leaflet) -- [ ] Add prediction visualization -- [ ] Implement time series charts -- [ ] Connect to API - -**Success Criteria**: Functional web dashboard - -#### Week 11-12: Deployment (Engineer 4 + Lead) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Docker containerization -- [ ] Write deployment docs -- [ ] Set up CI/CD pipeline -- [ ] Deploy to cloud (AWS/GCP) -- [ ] Performance testing - -**Success Criteria**: Production-ready deployment - -#### Week 11-12: Documentation & Launch (Team) -**Priority**: HIGH -**Status**: 🔴 Not Started - -**Tasks**: -- [ ] Complete API documentation -- [ ] Write user guides -- [ ] Create demo videos -- [ ] Prepare launch materials -- [ ] Community outreach - -**Success Criteria**: 50+ GitHub stars in first week - ---- - -## 🎯 Immediate Next Steps (This Week) - -### For the Team Lead (You) - -1. **Create GitHub Repository** - ```bash - cd ClimateVision - git init - git add . - git commit -m "Initial commit: project structure and core models" - git remote add origin https://github.com/yourusername/ClimateVision.git - git push -u origin main - ``` - -2. **Set Up Project Board** - - Create GitHub Project board - - Add all tasks from GETTING_STARTED.md - - Assign to team members - -3. **Schedule Kickoff Meeting** - - Review project goals - - Assign Week 1 tasks - - Set up communication channels - -4. **Environment Setup** - ```bash - # Create requirements-dev.txt - pip freeze > requirements-dev.txt - ``` - -### For Each Team Member - -1. **Clone and Set Up** - ```bash - git clone https://github.com/yourusername/ClimateVision.git - cd ClimateVision - python -m venv venv - source venv/bin/activate - pip install -r requirements.txt - pip install -e . - ``` - -2. **Read Documentation** - - [ ] README.md - - [ ] GETTING_STARTED.md - - [ ] PROJECT_STRUCTURE.md - -3. **Verify Installation** - ```bash - python -c "from climatevision.models import UNet; print('✓ Setup complete!')" - jupyter notebook notebooks/01_quickstart.ipynb - ``` - -4. **Start First Task** (See GETTING_STARTED.md for your role) - ---- - -## 📊 Success Metrics - -### Technical Metrics -- [ ] Forest segmentation accuracy > 95% -- [ ] Change detection F1 score > 0.90 -- [ ] API latency < 100ms -- [ ] Code coverage > 80% -- [ ] Zero critical bugs - -### Community Metrics -- [ ] 50+ stars in Month 1 -- [ ] 150+ stars in Month 2 -- [ ] 300+ stars in Month 3 -- [ ] 10+ external contributors -- [ ] 5+ active forks - -### Impact Metrics -- [ ] 100,000+ hectares monitored -- [ ] 50+ deforestation alerts generated -- [ ] 3+ partner NGOs -- [ ] 2+ research projects using ClimateVision - ---- - -## 🛠️ Development Tools Recommended - -### IDEs -- **VSCode**: Python, Jupyter extensions -- **PyCharm**: Professional Python IDE -- **Jupyter Lab**: Interactive development - -### Version Control -- **Git**: Version control -- **GitHub Desktop**: GUI for Git (optional) -- **GitKraken**: Advanced Git GUI (optional) - -### Testing & Quality -- **pytest**: Unit testing -- **black**: Code formatting -- **flake8**: Linting -- **mypy**: Type checking - -### MLOps -- **MLflow**: Experiment tracking -- **DVC**: Data version control -- **Weights & Biases**: Alternative to MLflow - -### Deployment -- **Docker**: Containerization -- **Kubernetes**: Orchestration -- **GitHub Actions**: CI/CD - ---- - -## 📞 Communication Channels - -### Recommended Setup -1. **GitHub Issues**: Bug reports, feature requests -2. **GitHub Discussions**: General questions, ideas -3. **Slack/Discord**: Daily communication -4. **Weekly Meetings**: Sprint planning, reviews - -### Response Times -- **Critical bugs**: < 4 hours -- **PRs for review**: < 24 hours -- **Questions**: < 1 day -- **Feature requests**: < 1 week - ---- - -## 🎓 Learning Path - -### Week 1: Foundation -- [ ] PyTorch basics -- [ ] Rasterio for geospatial data -- [ ] Git workflow - -### Week 2-4: Specialization -- [ ] Your role-specific technologies -- [ ] MLOps best practices -- [ ] Testing strategies - -### Month 2: Advanced -- [ ] Model optimization -- [ ] API design patterns -- [ ] Deployment strategies - ---- - -## 🏆 Milestones - -### ✅ Milestone 0: Project Setup (COMPLETE) -- Project structure created -- Core models implemented -- Documentation written -- Ready for development - -### 📅 Milestone 1: Week 4 (Foundation) -- Data pipeline working -- Training infrastructure ready -- Models training on real data - -### 📅 Milestone 2: Week 8 (Features) -- Change detection working -- API endpoints functional -- Model optimization complete - -### 📅 Milestone 3: Week 12 (Launch) -- Dashboard deployed -- Documentation complete -- Community launch successful -- 300+ GitHub stars - ---- - -## 🚀 You're All Set! - -Everything is ready for your team to start building ClimateVision. The foundation is solid: -- ✅ Professional project structure -- ✅ Working ML models -- ✅ Comprehensive utilities -- ✅ Clear documentation -- ✅ Development guidelines - -**Now it's time to build!** 🌍 - ---- - -**Questions?** Check the documentation or open a GitHub Discussion. - -**Let's protect the world's forests through open-source AI!** 🌳 diff --git a/team_docs/Francis_Umo_Role.pdf b/team_docs/Francis_Umo_Role.pdf deleted file mode 100644 index a263331..0000000 Binary files a/team_docs/Francis_Umo_Role.pdf and /dev/null differ diff --git a/team_docs/Olufemi_Taiwo_Role.pdf b/team_docs/Olufemi_Taiwo_Role.pdf deleted file mode 100644 index 9367f2c..0000000 Binary files a/team_docs/Olufemi_Taiwo_Role.pdf and /dev/null differ