Overview / Usage

The capabilities of AI is unlimited and most of us are trying our level best to make use of that. The main problem faced by the people is the problem of lack of data. Though there is a solution possible with the help of AI, most of the people step out of that scenario if there ain't enough data. As you all know, Data is the new oil for the new electricity (AI).
So, through this particular project what I'm trying to achieve is to develop the required data by creating it ourselves (with the use of an AI model) using the available amount of data.
You might be wondering, how is it possible with the less amount of data. We will be training the model with data that is available in plenty to make that model reach a particular scenario where it could manipulate the data itself and create similar (closely related) datasets by itself.
And hence, this can then be used for other cases using the transfer learning techniques or any better techniques, which is not in my head right now,
And Ta Da, the data which was not existing before you is now available. And if the created data resembles with the original data, we can go with that.
It can be used anywhere if the data is not sufficient to do the work which is supposed to be done. This can be used not only in AI but also in any other field where data is required but not available.

Methodology / Approach

We will be training the model with data that is available in plenty to make that model reach a particular scenario where it could manipulate the data itself and create similar (closely related) datasets by itself.
And hence, this can then be used for other cases using the transfer learning techniques or any better techniques, which is not in my head right now,
And Ta Da, the data which was not existing before you is now available. And if the created data resembles with the original data, we can go with that.

Technologies Used

Artificial Intelligence (ML, DL), Transfer Learning, Supervised, Unsupervised and Reinforcement Learning