One Capture. Every Exam. Verixam IR is a professional utility designed for over 20,000 examination centers across Nigeria and West Africa. It solves the "Bad Image" crisis for WAEC, NECO, and NABTEB enrollments by providing an automated, AI-ready pipeline for student identity management.

It started at a local registration center during the "JAMB rush." I saw a mother pleading with an official because her son’s registration was flagged for a "Bad Image." That mistake didn’t just mean a blurry photo; it meant a heavy penalty fee she couldn't afford and the risk of her son missing a year of school.

In Nigeria, enrollment tools are often manual and unforgiving. I realized that since WAEC already captures high-quality HD data, students shouldn't have to travel or pay to re-capture that same photo for NECO or NABTEB. I built VerixamIR to be the bridge that saves families money and keeps students in the classroom.

• Precision Presets: Instant "One-Click" resizing for WAEC, NECO, and JAMB standards.
• Database Extraction: Connects to .cnt database files to pull validated student photos and names directly—no re-shooting required.
• Smart Byte-Size Logic: Automatically finds the "sweet spot" (e.g., 12KB) to ensure 100% server acceptance.
• Batch Processing: Process an entire school's registry in seconds with multi-threaded performance.
• AI Validation (Beta): Preliminary checks for head centering and background compliance.

• Language: Python 3.10+
• UI: CustomTkinter for a modern, responsive "2026-ready" interface.
• Engine: Pillow (PIL) for recursive image compression.
• Storage: SQLite3 for interfacing with enrollment database schemas.
• Concurrency: Python threading to keep the UI smooth during heavy batch tasks.

• The "Extraction" Magic: Pulling a student's HD photo and name from a WAEC file and making it "NECO-ready" in under two seconds.
• Zero-Penalty Goal: Creating a tool that can save a single school center thousands of Naira in image correction fees.
• Human-Centric Design: Making professional image processing accessible to school clerks and enrollment agents.

• Full AI Facial Validation: Using OpenCV to auto-reject images with tilted heads or wrong backgrounds.
• Cloud Repository: A secure sync for agents to access validated images from any location.
• Mobile Verixam: Bringing the power of image validation to smartphone cameras for rural enrollment.

1. Clone the repo:

   git clone [https://github.com/edunelsonit/VerixamIR.git]
   

2. Install dependencies:

    pip install -r requirements.txt

3. Run the App:

    python VerixamIR.py

4. You Can Download the Executable directly to Run on Windows

    [https://github.com/edunelsonit/VerixamIR/blob/main/dist/VerixamIR.exe]