Bank of America Corporation

Bharathi Tadepalli

Kalyan Chakravarthy Pallapolu

Srinath Chakinam

A system comprising a coordinate tracking engine and a video classification engine communicably coupled to a notification engine. The coordinate tracking engine detects that geographical coordinates of a mobile device indicate that an account holder is within a threshold distance of a physical branch of an institution. The notification engine retrieves account information for the account holder. The coordinate tracking engine further detects that the account holder has arrived at the physical branch. The video classification engine captures video frames of an entrance to the physical branch and identifies the account holder. The notification engine further presents account information for the account holder on a display.

Two-way intercept using coordinate tracking and video classification

A system comprising a coordinate tracking engine and a video classification engine communicably coupled to a notification engine. The coordinate tracking engine detects that geographical coordinates of a mobile device indicate that an account holder is within a threshold distance of a physical branch of an institution. The notification engine retrieves account information for the account holder. The coordinate tracking engine further detects that the account holder has arrived at the physical branch. The video classification engine captures video frames of an entrance to the physical branch and identifies the account holder. The notification engine further determines an institutional representative associated with the account holder is available at the physical branch, notifies the representative of the arrival of the account holder, and presents account information for the account holder.

Apparatus and methods for an intelligent audit engine are provided. Product development artifacts may be associated with artifact tags and stored in an artifact repository. The audit engine may retrieve an artifact for audit. The audit engine may identify a set of development guidelines in a rule repository based on their artifact tags. The audit engine may determine whether the development guidelines have been satisfied based on stored product testing data. A failed development guideline may initiate a workflow that includes notification of a project stakeholder regarding the failure. The notification may include remediation measures to be taken by the stakeholder. The validation process may iterate until all guidelines have passed validation. A machine-learning algorithm may prioritize a development guideline for future audits to increase efficiency. The machine learning algorithm may educate stakeholders to reduce audit failures.

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Hyderabad Telangana, India

Bharathi Tadepalli