You will get Alzheimer's Disease Detection Using Vision Transformer (ViT)
Project details
This project focuses on developing an advanced Alzheimer’s disease detection system using a pretrained Vision Transformer (ViT) model. Unlike traditional approaches, this solution leverages state-of-the-art deep learning techniques to deliver high accuracy, scalability, and robustness in medical image classification. What sets this project apart is the integration of cutting-edge transfer learning with ViT, enabling faster training, improved generalization, and reliable predictions, ultimately supporting healthcare professionals with data-driven insights for early diagnosis.
Machine Learning Tools
Apache Mahout, Apache Spark MLlib, Azure Machine Learning, BERT, Chainer, ChatGPT, Deeplearning4j, GitHub Copilot, MATLAB, MLflow, NLTK, pandas, Python, scikit-learn, SciPyWhat's included
| Service Tiers |
Starter
$10
|
Standard
$15
|
Advanced
$20
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 0 | 1 | 2 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 1 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code | - |
About Israr
Data Scientist / AI Engineer/NLP & Generative AI Specialist
Gilgit, Pakistan - 6:55 am local time
I am Israr Hussain, an AI Engineer and Data Scientist with 2+ years of experience delivering solutions in Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI.
I specialize in designing and deploying intelligent, data-driven solutions that address real-world challenges. From predictive analytics and end-to-end ML pipelines to custom NLP models and Generative AI applications (including Retrieval-Augmented Generation – RAG), I combine technical expertise with a problem-solving mindset to deliver measurable results.
âś… What I Offer:
Data Science: data preprocessing, exploratory data analysis (EDA), visualization & insights
Machine Learning & Deep Learning: predictive modeling, classification, regression, CNNs, RNNs
NLP & LLMs: text classification, sentiment analysis, embeddings, chatbots, and advanced RAG systems
Generative AI: fine-tuning LLMs, prompt engineering, custom AI assistants
Computer Vision: image recognition, object detection, and image augmentation
End-to-End ML Pipelines: from data collection to deployment
I thrive on transforming complex datasets into actionable insights and building AI-powered applications that help businesses innovate and scale. My goal is not just to deliver projects, but to provide solutions that are reliable, scalable, and future-ready.
Steps for completing your project
After purchasing the project, send requirements so Israr can start the project.
Delivery time starts when Israr receives requirements from you.
Israr works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff & Access
Confirm goals, target classes, and receive MRI dataset (or access).