Title of the Project Machine learning Performance Improvement Using AI based Data Centric Approach

AI based applications is facing different problems regarding accuracy of data. A lot of time is wasted on improving model while the data is not handled in a better way. As machine learning becomes the new software, collecting data and improving its quality will only become more critical for deep lea

Project Title

Title of the Project Machine learning Performance Improvement Using AI based Data Centric Approach

Project Area of Specialization

Software Engineering

Project Summary

AI based applications is facing different problems regarding accuracy of data. A lot of time is wasted on improving model while the data is not handled in a better way. As machine learning becomes the new software, collecting data and improving its quality will only become more critical for deep learning. We covered four major topics (data collection, data cleaning and validation, robust model training, and fair model training), which have been studied by different communities, but need to be used together. 

Project Objectives

To increase efficiency and effectiveness of data by data-centric approach. 

 To improve overall quality of data by using different approaches of data quality improvement. 

 To improve performance and accuracy of AI systems by enhancing the datasets.

Project Implementation Method

Improves the prediction quality by using New method( Data centric approach)

Change the accuracy of dataset by 

Data Preprocessing of diabetes data

Data quality assessment

Data cleaning

Handling missing values

Data transformation

Data Augmentation of diabetes data

Increase the amount of data 

Imcrease Accuracy and performance of dataset

Data Preprocessing of MNIST Dataset

Data Programming of MNIST DIGIT Dataset 

          Using GAN

Benefits of the Project

It will increase the amount of data artificially by using data augmentation and also will reduce overfitting issue.

It will preprocess the data .

It will help on deep learning of data  by cleaning daat and also increasing amount of data systematically.

Technical Details of Final Deliverable

The final deliverable will be in the form of webapp that shows tha improved accuracy of the datasets will approved that working on datasets is far better than improving tha models because the AI basically consist of 80Úta and the remaining code . So it's. Better to work on data rather than code  or models.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com