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Hello! πŸ‘‹

I'm Mobarak, an AI Engineer based in Nigeria. 🌍 πŸ€— πŸš€

🌟 Interests

  • Large Language Models (LLMs)
  • Stable Diffusion (SD)
  • Machine Learning (ML)
  • Deep Learning (DL)
  • Generative AI (GenAI)

πŸ’Ό LinkedIn

Inuwa Mobarak Abraham's Projects

african_attire_detector icon african_attire_detector

This repo is made public for my article in Analytics Vidhya. Using deep learning and picture classification, we created a working prototype for fashionistas in detecting African Attires.Β The objective is to carry out a comprehensive machine-learning demo utilizing a scenario of a real-world issue.

bible-books-nlp icon bible-books-nlp

a natural language processing project on the books of the Holy Bible

chest-xray-pneumonia-detection icon chest-xray-pneumonia-detection

Pneumonia identification from chest x-ray images using deep learning algorithms Used transfer learning techniques to develop an artificial intelligence system.

ckd icon ckd

The CKD (Chronic Kidney Disease) App is a mobile application designed to help with chronic kidney disease and manage their condition more effectively.

crow-cpp-docai icon crow-cpp-docai

This standalone C++ application will include a HTML form for user input, and a C++ server to handle the form submission, perform inference, and return the result to the client.

customer-segmentation_k-means icon customer-segmentation_k-means

It is important to know the needs and understand what the customer desires. Here is an analysis of the customers visiting a mall using K-Means algorithm for Clustering technique

deep-learning-in-banking icon deep-learning-in-banking

This repo is a project where we developed a real-world prototype of how deep learning and image classification can be used in the banking sector. The goal is to carry out a complete machine-learning demo using a real-life problem scenario.

depth-estimation-dpt icon depth-estimation-dpt

This repository contains the implementation of Depth Prediction Transformers (DPT), a deep learning model for accurate depth estimation in computer vision tasks. DPT leverages the transformer architecture and an encoder-decoder framework to capture fine-grained details, model long-range dependencies, and generate precise depth predictions.

detecting-tables-in-documents icon detecting-tables-in-documents

This repository contains code and resources for detecting tables in various types of documents using machine learning and computer vision techniques.

diabetes-prediction-app icon diabetes-prediction-app

An analysis and prediction of diabetes using the dataset which is originally from the National Institute of Diabetes and Digestive and Kidney Diseases.

doc2markdown icon doc2markdown

an application to convert scientific documents to markdown text with nougat model

document-clustering icon document-clustering

This repo is for my article with Analytics Vidhya. In this project, we embark on organizing set of articles from Wikipedia using the Wikipedia library into similar groups (or clusters).

document-summarization icon document-summarization

Document Summarization has become a vital task for various individuals and businesses that require a way of cutting down complexities involved with bulky documents

employee-attrition_xgboost icon employee-attrition_xgboost

Replacing an employee costs and can be controlled. Building a complete ML prototype for Employee attrition prediction using XGboost.

face-tracking-blurring icon face-tracking-blurring

python project on tracking faces in videos and blurring them for censoring, privacy or security

falcon-task-management-api icon falcon-task-management-api

We create a task management API with Falcon framework where users can create, retrieve, update, and delete tasks with task support and tips from AI. We'll also include validation and error handling.

google-efficientnet icon google-efficientnet

Predicting image classes can now be achieved without extensive training, thanks to the advancements in transformer-based models.

graphql-agric-management-sys icon graphql-agric-management-sys

A GraphQL project for an agriculture management system. The system will handle data related to farms, crops, weather information, and equipment. It is more or less a practice project using Python with Flask for the backend, SQLAlchemy for database management, and Graphene for GraphQL integration.

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