Ismail Ismail Tijjani
Founder and President of EJAZTECH.AI
AI Researcher
Computer Vision Developer
About Me
A computer vision developer, AI researcher, and a fourth-year Mechatronics Engineering student. As the founder of EJAZTECH.AI, I specialize in developing AI-driven solutions that address local challenges in Nigeria and Africa. I have collaborated with various companies to build tailored AI models for their specific needs. Additionally, I lead a mentorship program through my company, guiding aspiring youths in their AI careers. My mission is to empower individuals to innovate and create transformative technologies for the betterment of Nigeria and the broader African continent.
Projects
Food Vision
Food Vision is a cutting-edge Nigerian food detection and analysis system that combines Roboflow, Google Gemini AI, Gradio, and Text-to-Speech technologies to provide instant, AI-driven insights on any food image. Simply upload a picture, and get real-time summaries on its health benefits, nutritional value, diabetic suitability, ingredients, and preparation method.
Halal View
The Halal View System is an AI-powered content moderation solution designed to automatically detect underdressed individuals in visual media and apply a blur effect to protect viewers from exposure to such content. This innovation is particularly beneficial for ensuring a family-friendly and culturally respectful viewing experience, making it suitable for TV stations, social media platforms, and digital content providers.
MPOX DETECTION
THIS REPOSITORY HOSTS THE CODE FOR A DEEP LEARNING-BASED MPOX DETECTION API, DESIGNED TO IDENTIFY MPOX LESIONS IN MEDICAL IMAGES. THIS API IS INTENDED TO SUPPORT HEALTHCARE APPLICATIONS WHERE EFFICIENT AND ACCURATE DETECTION IS ESSENTIAL.
AGRIAI: Plant Detection and their Health Conditions System
This project, leverages AI to help farmers and agricultural stakeholders monitor crop health and detect plant. The solution combines plant detection and health condition into a single, user-friendly interface.
Nigeria License Plate Detection and Recognition System (NLPDRS)
The NLPDRS is an advanced AI-driven tool designed to detect and recognize Nigerian license plates from vehicles in various conditions.
AI-Powered Naira Classification Model
This model aims to identify the denominations of Nigerian Naira banknotes, including 5, 10, 20, 50, 100, 200, 500, and 1000 Naira notes. Such a model can be seamlessly integrated into various automated systems, including cash deposit machines, currency sorting machines, and more.
KEKE_NAPEP DETECTION AND TRACKING SYSTEM
The KEKE_NAPEP Detection and Tracking System is an AI-driven solution designed for real-time identification, tracking, and monitoring of tricycles (KEKE_NAPEP) in images and video streams. Given that KEKE_NAPEP serves as a major public transportation mode in Nigeria, this system offers critical insights for traffic management, fleet monitoring, toll gate monitoring, revenue tracking and urban mobility analytics.
SPORTS CLASSIFICATION
This Sports Classifier is a cutting-edge computer vision project that harnesses the power of MobileNet transfer learning to accurately classify images across 100 sports categories.
SURFACE CRACK CLASSIFICATIONS
This Surface Crack Classifier project is a sophisticated computer vision model designed to address the critical task of classifying surface images into two distinct categories: surfaces with cracks and those without.
6 PLACES CLASSIFICATION
This project contains a deep learning model for classifying images into categories such as 'buildings', 'forest', 'glacier', 'mountain', 'sea', and 'street'.
4 Animals Classification
This project contains a deep learning model for classifying images of cats, dogs, elephants, and giraffes.
Binary Classification Bike Buyer
This Project demonstrates the classification of bike buyers using various machine learning models. It includes data preprocessing, model implementation (Decision Tree, Logistic Regression, and Neural Network), and evaluation of model accuracies.
Multi class Classification of Dry Beans
This project aims to classify different types of dry beans using a Neural Network model trained on the Dry Bean Dataset.
Articles
Integrating Gemini, Roboflow, Gradio, and Hugging Face to Build AI-Powered Systems
How to build a system that integrates Google’s Gemini, Roboflow, Gradio, and Hugging Face. I used food vision system that detects foods in images, generates tailored insights, and provides an interactive web interface with audio output.
Building Africa’s AI Future Starts with Data Collection: A Call to Action
Africa risks lagging in the AI revolution due to inadequate data collection. AI's effectiveness hinges on quality, location-specific data, yet many African organizations lack digitized records. Importing Western AI solutions is ineffective, as they fail to address African contexts.
AI Beyond Coding: A Data-Centric Paradigm
AI development goes beyond coding, which accounts for ~30% of the process. It involves scoping projects, collecting and preprocessing data, building and evaluating models, testing, and deploying systems with ongoing automation. The focus has shifted to a data-centric approach, prioritizing high-quality, diverse datasets over model tweaking.
Path to Artificial General Intelligence (AGI) 2
Challenging the term 'Artificial General Intelligence,' favoring 'Human-Level Intelligence.' It outlines essential cognitive traits needed for true machine intelligence: learning, memory, reasoning, and planning. It emphasizes the gradual, collaborative journey required to reach AGI.
How Students Will Use ChatGPT Effectively
Explores how students can use ChatGPT wisely for learning, emphasizing summarization and idea support while highlighting the importance of fact-checking and academic integrity.
Understanding How ChatGPT Works and Addressing Raised Concerns
A breakdown of ChatGPT’s functionality and a response to common questions and concerns.
Path to Artificial General Intelligence (AGI 1)
The steps and considerations in the journey toward achieving AGI.
AI and Future of Jobs
An analysis of how AI will impact job roles and the workforce in the future.
AI is Here for Good
A look at the positive impacts of AI and how it can contribute to societal progress.
Publications
Performance Comparison of Deep Learning Techniques in Naira Classification
This study presents the deployment of Deep Learning models, to classify Nigerian Naira notes by denomination, achieving 90.75% training accuracy and 87.04% validation accuracy, with potential applications in automated cash handling, sorting systems, and assistive technology for the visually impaired.
Skills
Contact
Connect with me on social media or send an email for collaborations or inquiries.