Engineer.ai Corp.

Systems, methods, and a computer readable storage medium are disclosed for detecting anomalies in cloud resource usage. The method includes monitoring the cloud resource usage associated with one or more users and identifying a category associated with the one or more users. The method further includes detecting anomalies in the cloud resource usage based on the monitoring and the identified category, suspending access to cloud resources for the one or more users based on the detected anomalies, and generating a report of the detected anomalies.

Systems, methods, and a computer readable storage medium are disclosed for detecting fraudulent activity on cloud resources. The method includes providing, through the cloud service platform, the cloud resources to one or more users and monitoring usage of the provided cloud resources. The method further includes identifying anomalies in the monitored usage based on predefined thresholds and suspending access to the provided cloud resources based on the identified anomalies.

Systems, methods, and a computer readable storage medium are disclosed for generating a fingerprint. The method includes receiving a source code and analyzing the received source code. The method further includes tokenizing the source code to generate a sequence of tokens, the tokenization is based on a predefined set of reserved keywords and operators specific to a programming language and a framework. The method also includes generating the fingerprint for the source code based on the tokenization.

Systems, methods, and a computer readable storage medium are disclosed for preventing cryptocurrency mining fraud on a cloud service platform. The method includes monitoring cloud resource usage associated with one or more users and detecting resource usage pattern based on the monitored cloud resource usage. The method further includes identifying unauthorized cryptocurrency mining activities in the detected resource usage patterns and executing one or more actions upon the identification of unauthorized cryptocurrency mining activities.

Systems, methods, and a computer readable storage medium are disclosed for detecting plagiarism. The method includes generating a fingerprint for a first source code, comparing the generated fingerprint of the first source code with fingerprints of historical source codes, and determining matching blocks of source code that exceed a predefined minimum length threshold based on the comparison. The method also includes computing a ratio of total matched source code lines to the total lines in the first source code based on the determination and determining a plagiarism likelihood score based on the computation.

Systems, methods, and a computer readable storage medium are disclosed for detecting plagiarism. The method includes reading a first source code and generating a first fingerprint for the first source code, the first fingerprint is a representation of the first source code that comprises reserved keywords and operators. The method further includes comparing the first fingerprint with the fingerprints of the historical source code submissions and generating a plagiarism likelihood score based on the comparison.

Systems, methods, and a computer readable storage medium are disclosed for submission of a software application to one or more application stores. The method includes receiving one or more inputs from a user and retrieving buildcard information of the software application based on the received one or more inputs. The method further includes determining functions and properties of the software application based on the buildcard information and generating the metadata for the software application based on the determined functions and properties.

Systems, methods, and a computer readable storage medium are disclosed for submission of a software application to one or more application stores. The method includes receiving buildcard information of the software application and determining functions and properties of the software application based on the buildcard information. The method further includes determining one or more third-party applications utilized by the software application based on the determined functions and properties and generating the metadata associated with the software application based on the determined one or more third-party applications and the determined functions and properties.

Systems, methods, and a computer readable storage medium are disclosed for submission of a software application to one or more application stores. The method includes receiving one or more inputs from a user and determining requirements to submit the software application to the one or more application stores based on the received one or more inputs. The method further includes generating metadata for the software application based on the determined requirements and submitting the software application to the one or more application stores based on the generated metadata.

Systems and methods for tracking a progress of one or more projects is disclosed. The system includes a processor coupled to a memory. The processor is configured to receive a request for completing one or more projects. The request includes one or more features assigned for each project. The processor is further configured to divide the one or more features into one or more stages. The stages include one or more activities assigned for each feature and one or more tasks assigned for each activity. The processor is further configured to determine one or more percentages for each stage. The percentages indicate a weightage that each stage contributes for each project and are determined based on one of more parameters. In addition, the processor is configured to determine a final completion percentage of the one or more projects based on the weightage determined for each stage.