Problem Statement

As we fit the world in our hands in communication, education, insurance, fintech, information retrieval, and healthcare on the axis of deep learning algorithms, interest and demand for AI-powered solutions are also expanding. Any aspect of learning or intelligence simulated by a machine are called AI. The biggest benefit of AI, which can be used in a vast range, is ease and agility. While the use of ML continues to manifest itself, the solutions that the optimization processes of practical AI applications can bring to efficiency are becoming more important for businesses. Beyond the trend and growing media attention, countless industry giants are competing to apply AI, machine learning, and deep learning technologies. According to estimates, the market for AI services could exceed $5.5 trillion by 2027. [1] Big tech companies are discerning the importance of acquiring AI-based startups while implementing AI into their business activity. [2] However, there is a significant gap between people (researchers and academics) developing AI solutions and businesses looking to use them.

The fact that artificial intelligence is not accessible and applicable to everyone is one of the important problems facing individuals today that needs to be solved. Artificial intelligence project developers rarely have the opportunity to bring their solutions and products to an even broader audience. In fact, due to a lack of funding, most promising projects disappear before they are fulfilled. Although they offer solutions in their approach, established platforms come up short in many ways. Because in a centralized platform, any trust issue can only be resolved by relying on a third party. Also, since the process is difficult to automate, it becomes very costly for the parties, both in terms of time and resources.

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