Software

NeuroXAI

NeuroXAI is a Lightweight explainable AI tool for early Alzheimer's detection (CN/EMI/LMCI). Presented at SPIE Medical Imaging 2026, this system combines EfficientNetV2B0 (88% accuracy) with Grad-CAM++ visualizations, multi-planar neuroimaging viewing, and 3D modeling.

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ScreenVision AI

ScreenVision AI is an advanced medical imaging analysis tool with clinical triaging and urgency classification. It uses deep learning models to analyze various medical images including brain MRIs, skin lesions, chest X-rays, and eye fundus images. The software provides explainable AI visualizations, clinical question workflows, and generates detailed PDF reports with color-coded urgency assessments.

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Draft

Draft is a lightweight, Java-based text editor designed for simplicity and efficiency. Inspired by the functionality of Emacs, it provides a clean and intuitive interface for editing text files, with additional features like a built-in terminal for advanced users. It is ideal for writers and anyone who needs a fast and customizable text editing tool.

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Tabard

Tabard is a Chrome extension that enhances tab management by offering features like automatic grouping by domain, advanced search, session saving, and theme customization. It's designed to help users, including developers and casual browsers, maintain an organized and efficient browsing experience.

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Eventor

Eventor is a Chrome extension that helps you manage and organize browser events, improving your browsing workflow and productivity with smart event tracking and management features.

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About TENSA Solutions

Objectives

Provide software tools that help researchers boost productivity. Build cool things.

Me, myself, and I

TENSA Solutions is currently a solo endeavor.

Falah Sheikh

Developer

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Draft

Draft Screenshots

System Requirements

Operating System: Windows 10/11, macOS 10.15+, or Linux
Java Runtime: Java 8+ (JRE 1.8+)
RAM: 2 GB minimum (4 GB recommended)
Storage: 100 MB free disk space
Display: Minimum 1024x768 resolution
Terminal: bash (Linux/macOS) or cmd (Windows) for terminal panel

Tabard

Tabard Screenshots

System Requirements:

Operating System:
- Windows 10 or later
- macOS Big Sur 11 or later
- 64-bit Linux distributions such as Ubuntu 18.04+, Debian 10+, openSUSE 15.5+, or Fedora Linux 39+
Processor: Intel Pentium 4 or later with SSE3 support
RAM: 4 GB minimum (8 GB recommended for better performance)
Storage: At least 300 MB of free disk space for installation (additional space may be required for user data)
Graphics: GPU capable of hardware acceleration; support for technologies like WebGL may be necessary depending on extension features
Internet Connection: Required for installation, updates, and cloud-based features

Browser Requirements:

Google Chrome: Version 49 or newer

Eventor

Eventor Screenshots

System Requirements:

Operating System:
- Windows 10 or later
- macOS Big Sur 11 or later
- 64-bit Linux distributions such as Ubuntu 18.04+, Debian 10+, openSUSE 15.5+, or Fedora Linux 39+
Processor: Intel Pentium 4 or later with SSE3 support
RAM: 4 GB minimum (8 GB recommended for better performance)
Storage: At least 300 MB of free disk space for installation (additional space may be required for user data)
Graphics: GPU capable of hardware acceleration; support for technologies like WebGL may be necessary depending on extension features
Internet Connection: Required for installation, updates, and cloud-based features

Browser Requirements:

Google Chrome: Version 49 or newer

ScreenVision AI

ScreenVision AI Screenshots

System Requirements

Operating System: Windows 10/11, macOS 10.15+, or Linux (Ubuntu 18.04+)
Python: Python 3.8 or later
RAM: 8 GB minimum (16 GB recommended for large images)
Storage: 2 GB of free disk space for models and dependencies
GPU: NVIDIA GPU with 4GB+ VRAM recommended (optional for acceleration)
Display: Minimum 1280x768 resolution
Dependencies: TensorFlow, OpenCV, Pillow, OpenAI API key

Key Features

Multi-modal medical image analysis (X-Ray, MRI, etc.)
Explainable AI with Grad-CAM++ heatmap visualizations
Clinical triaging workflow with patient assessment questions
Color-coded urgency classification (Routine to Emergency)
Comprehensive PDF report generation
Support for multiple deep learning models

NeuroXAI

NeuroXAI Screenshots

System Requirements

Operating System: macOS 10.14+, Windows 10/11 (64-bit), or Linux (Ubuntu 18.04+, CentOS 7+, Fedora 30+)
Python: Python 3.8 or later
RAM: 8 GB minimum (16 GB recommended)
Storage: 5 GB free disk space
Graphics: OpenGL support, NVIDIA GPU with 4GB+ VRAM recommended for GPU acceleration
Display: Minimum 1280x720 resolution (1920x1080 recommended)
Dependencies: TensorFlow, OpenCV, Matplotlib, NumPy, SciPy, scikit-image, SimpleITK, Pillow

Key Features

Multi-planar viewing (axial, coronal, sagittal)
Window/level adjustment for optimal contrast
Zoom, pan, and crosshair navigation
Drawing tools with customizable colors and brush sizes
Distance measurement with real-world units
3D surface model generation using marching cubes
AI-powered Alzheimer's detection using EfficientNetV2B0
Grad-CAM++ attention visualization for model interpretability
Guided backpropagation for enhanced feature attribution
Comprehensive medical report generation