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
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
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Online AI tools | Equipment | 1 | 18000 | 18000 |
| Website hosting | Equipment | 1 | 10000 | 10000 |
| Misclaneous header | Miscellaneous | 1 | 5000 | 5000 |
| Total in (Rs) | 33000 |
If you need this project, please contact me on contact@adikhanofficial.com
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