Abstract: A system and method for analyzing input crowdsourced information, preferably according to an AI (artificial intelligence) model. The AI model may include machine learning and/or deep learning algorithms. The crowdsourced information may be obtained in any suitable manner, including but not limited to written text, such as a document, or audio information. The audio information is preferably converted to text before analysis.

Abstract: A system and method for analyzing input crowdsourced information, preferably according to an AI (artificial intelligence) model, with the addition of vetting of the participants. The AI model may include machine learning and/or deep learning algorithms. The crowdsource information may be obtained in any suitable manner, including but not limited to written text, such as a document, or audio information. The audio information is preferably converted to text before analysis. The participants may be vetted in a variety of ways, including but not limited to verified identification (ID), verified skills, verified affiliation, verified credentials and also optionally verification through the addition of a blockchain-based identity.

Abstract: A system and method for constructing an output report based on crowdsourced information, preferably according to an AI (artificial intelligence) model. The AI model may include machine learning and/or deep learning algorithms. The crowdsourced information may be obtained in any suitable manner, including but not limited to written text, such as a document, or audio information. The audio information is preferably converted to text before analysis.

Abstract: A system and method for creating and providing crime intelligence based on crowdsourced information stored on a blockchain, where the crowdsourced information is analyzed and evaluated preferably according to an artificial intelligence (AI) model and users are rewarded for providing timely, valuable, and accurate crime tips. The crowdsourced information may be obtained in any suitable manner, including but not limited to written text, such as a document, or audio information.