Tools & Software

Discover our custom tools, software packages, and utilities developed for AI research in agriculture and healthcare applications.

🌾

Agricultural AI Tools

Computer vision and ML tools for crop analysis and precision agriculture

3 Tools
🏥

Medical Imaging Tools

Image processing and analysis tools for healthcare applications

2 Tools
⚖️

Responsible AI Tools

Frameworks and utilities for ethical AI development and assessment

2 Tools

Available Tools

🌾
Open Source

Agricultural AI Toolkit

Comprehensive Python package for agricultural AI applications including crop analysis, quality assessment, and precision farming tools.

Key Features:

  • Crop disease detection algorithms
  • Quality grading models
  • Image preprocessing utilities
  • Data augmentation tools
  • Model evaluation metrics
Language: Python 3.8+
Dependencies: TensorFlow, OpenCV, NumPy
License: MIT
Agriculture Python Computer Vision Open Source
View on GitHub
🏥
Research Use

Medical Imaging Utilities

Specialized utilities for placental image analysis and processing, developed for medical AI research applications.

Key Features:

  • 2D ultrasound image preprocessing
  • Placental boundary detection
  • Volume estimation algorithms
  • Medical image enhancement
  • DICOM format support
Language: Python 3.8+
Dependencies: PyTorch, SimpleITK, OpenCV
License: Academic Use
Medical Imaging Python Healthcare Research
Request Access Documentation
👁️
In Development

E-Vision Framework

Edge AI framework for assistive technologies, specifically designed for low-latency processing on mobile and edge devices.

Key Features:

  • Real-time object detection
  • Scene understanding algorithms
  • Text-to-speech integration
  • Edge device optimization
  • Accessibility-focused design
Platform: Mobile, Edge Devices
Framework: TensorFlow Lite
Partner: Cadre Technologies
Assistive Tech Edge AI Accessibility Mobile
Request Demo
⚖️
Research

CARA-FM Framework

Context-Aware Responsible AI Framework Models for East Africa, providing ethical guidelines and implementation tools.

Key Features:

  • Ethical AI assessment tools
  • Context-aware evaluation metrics
  • African-specific guidelines
  • Bias detection algorithms
  • Fairness measurement tools
Type: Framework
Focus: East Africa
Status: Published Research
Responsible AI Ethics Africa Framework
View Publication Collaborate

Getting Started

🚀 Quick Installation

# Install Agricultural AI Toolkit
pip install saail-agricultural-ai

# Import and use
from saail_agri import CropAnalyzer
analyzer = CropAnalyzer()
result = analyzer.analyze_crop_quality(image_path)

📚 Documentation

Comprehensive documentation is available for all our tools, including API references, tutorials, and example implementations.

API Documentation Tutorials Examples

🤝 Contributing

We welcome contributions from the research community. Fork our repositories, submit pull requests, and help improve our tools.

1 Fork the repository
2 Create feature branch
3 Submit pull request

Need Help?

Our team is here to help you get the most out of our tools and software. Reach out for support, collaboration, or custom development.

Contact Support GitHub Issues