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10/08/2025

Masha Allah

01/08/2025
31/07/2025

Yahaya Musa

31/07/2025

Hello, my name is Yahaya Musa, a 3MTT Fellow from Yobe State. My Fellow ID is FE/23/28069536.

This is my showcase project titled:
AI-Powered Teacher Sign-In and Sign-Out System

This solution addresses the widespread problem of unreliable teacher attendance by using Artificial Intelligence specifically facial and voice recognition to ensure real-time, verifiable sign-ins and prevent cheating or “joke-signing.”

The Problem:
In many schools, attendance sheets are unreliable. Teachers sometimes joke-sign or ask colleagues to sign in for them, undermining accountability.

Scene:
[Teacher 1 hands a sign-in sheet to another teacher]
Teacher 1: "Please sign for me, I’m running late."
Teacher 2: "No problem!"
The sign-in is completed — even though the teacher isn’t present.
Voiceover:
"This is common in many schools. The records are wrong, and accountability is lost."

The AI Solution:
[Show your AI system interface – a tablet or laptop displaying the sign-in screen]
With my AI system, a teacher must appear in front of the device and say a predefined phrase, like:
"Signing in for duty.
[Show a teacher standing in front of the camera and saying the phrase]
System Response:
"Face and voice matched. Welcome, Mr. Ali. You signed in at 7:55 AM.

Only real-time sign-ins are accepted — no one else can sign in for you.
It uses AI facial recognition and voiceprint matching to confirm identity.

Cheating Attempt:
[Someone holds up a printed photo or mimics a teacher’s voice]
System Response:
"Face not recognized.
"Voice mismatch. Please try again.
Even if someone tries to cheat the system, the AI detects it and blocks the attempt.

Admin Dashboard:
[Show a simple dashboard with attendance list, timestamps, and photos]
School administrators can easily track:
Who was present
Who was late
The exact time of sign-in
All data is backed by verified AI logs, ensuring accountability and transparency.

Tech Stack:
I built this project using open-source tools, including:
Python – for face and voice recognition
TensorFlow or DeepFace – for AI model integration
Streamlit or HTML Dashboard – for the user interface
Everything was developed by me as part of the 3MTT program.

The Impact:
This system promotes accountability, transparency, and integrity in educational institutions using cutting-edge AI technology.
Thank you for watching.
Nigeria

23/07/2025
With Yahaya Musa – I just got recognised as one of their top fans! 🎉
23/07/2025

With Yahaya Musa – I just got recognised as one of their top fans! 🎉

16/07/2025

Name: Yahaya Musa
Fellow ID:
FE/23/28069536
Cohort 3

Hello everyone, I’m Yahaya Musa, a proud 3MTT Cohort 3 Fellow from Yobe State, and I’m excited to share my journey with you.

* What do I wish someone had told me when I was starting out in tech?
I wish someone had told me that you don’t need to know everything before you start. Tech is a journey of continuous learning—it's okay to be confused at first. Just take the first step and grow gradually.

*What do I want to be remembered for in my cohort?
I want to be remembered as the fellow who turned tailoring into tech with my project TailorMatch AI. I hope my work inspires others to think creatively and merge traditional skills with modern technology.

*What’s one thing I’m truly grateful for from this experience?
I’m truly grateful for the opportunity to connect with amazing minds across Nigeria. The support from mentors, trainers, and fellow participants has been life-changing. This program opened doors I never knew existed.

* How would I convince someone to apply for 3MTT?
If you’ve ever dreamt of becoming tech-savvy or launching a career in tech, 3MTT is your chance. It’s completely free, hands-on, community-driven, and life-transforming. Don’t miss the next cohort!

Thank you 3MTT for this opportunity.

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