Mohamed Jafir Ashraf's Projects
Brain Tumor image classification to classify the cancer(abnormal/brain tumor) and not cancer(normal/healthy) from MRI images. Its a simple classification problem using deep neural network(DNN).
I created a Breast Cancer prediction using a Convolutional neural network on breast cancer data, which I have implemented using Keras.
Hello, I'm Mohamed Jafir Ashraf. This my capstone project in corsera, IBM. In this notebook will be mainly used for the capstone project.
This site is used for track live information about the Covid19
Python is one of the top most languages. It is used primarily for performing data analysis. One of the main factors why it is used for the analysis of data is because of the superb Python ecosystem. There are tons of data-centric Python packages which make the process of data analysis a lot quick and convenient.
In this project, deploy yolo custom object detection using opencv.
Emotion recognition is part of sentiment analysis. We achieve emotion recognition from text using pre-trained packages. It aims to detect emotional words such as happy, sad, fear, surprise, and angry.
In this repo created a machine learning model to predict or recognize human emotions (like, happy, sad, angry, surprise). And the face key points dataset is extracted from a real-time webcam using media pipe face-mesh key points.
I have developed a Flask application for GFP-GAN and run it on flask-ngrok. GFP-GAN is AI practical algorithm for real-world face restoration.
We create a model for image classification using the feed-forward network. The feed-forward network is the first and simple type of deep learning network. It is a classification algorithm. In this network, information moves only forward not from a cycle.
In this project using validate multiple content in to the form. It's build up javascript, css and html.
Model deployment with flask api, using Linear Regression to predict the price value. Deploy ML Models Using Flask to take your models from python to production.
In this project is the predicting poses of human body parts and actions.
edit
Loan Approval Prediction is automate loan eligibility process from customer details. These details are Gender, Marital status, Education, Number of dependents, Self-employed, Monthly income, Loan Application amount and Credit history. In this process identify the customer segmentation and those are eligible for the loan amount.
This is Login and Registration system using HTML, CSS, JS and MongoDB
In this projects is build for some machine learning algorithms. It is used for beginner to intermediate. so i hope that's used for all.
Medical question and answer dataset gathered from the web.
Developed the project is detect the persons using yolo and estimate the persons pose using mediapipe
Sample MySQL and MariaDB database data that can be used for upgrade testing
Object detection is detecting and recognizing the object. It is one of the common applications in computer vision problems (like traffic signals, people tracking, vehicle detection, etc...). In this repo, I develop real-time object detection with pre-trained models. These are YOLO version 3 and SSD MobileNet version 3. And I used coco large dataset for detecting labels, which are a total of 80 labels.
An easy to follow course of OpenCV using Python for beginners.
In Machine Learning Project is "predict whether a person will be diagnosed diabetes or not" - Using K Nearest Neighbor Aldorithm.
Create a website using HTML & CSS
Repository to store sample python programs for python learning
I created responsive website with navigation bar using html, css and js.