Wells Fargo Bank, N.a.

Dinakar Channakal Krishnappa

Andrew J Garner, Iv

Dennis Emmanuel Montenegro

Prasanth Nandanuru

Eduardo DeLa Torre

Shiju Thukalankuzhy John

Yevanna M Yejjala

Chinababu Kona

Sai Krishna Verma Sundaragiri

Priyanka Amara

Kory Bunya

Rameshchandra Bhaskar Ketharaju

Daniel S Sumner

Prasanna Kumar Ammiraju

Mohan Gopal Kanala

Prashanth Kumar Merugu

Gail Elizabeth Stuart

Dibyendu Chatterjee

Kshitindra Kumar Jain

Ravindar Rao Perala

Dinesh Sangtani

An application can be converted to new programming language or framework. A source application written for a legacy framework is analyzed and divided into smaller segments of code. The smaller segments are evaluated for quality in view of best practices design for writing applications. A rubric is determined for each segment and compared to a best practice threshold. Segments can be evaluated for features that can be passed through a model. The model converts the features into new code adapted for target framework. Machine learning and rules databases are updated with details of the conversion.

Programming language conversion

A method may include receiving, from a customer device, contextual location information about a customer and an interaction type, determining a location-based recommendation and an urgency level for the customer using the contextual location information, generating a routing protocol for communication with the customer based on the interaction type and the urgency level, and providing a communication to the customer according to the routing protocol, the communication including the location-based recommendation.

Systems and methods for providing contextual recommendations

Systems and methods for converting an application to new programming language or framework is provided. A source application written in a legacy framework is analyzed and divided into smaller segments of code. The smaller segments are evaluated for quality in view of best practices design for writing applications. A rubric is determined for each segment and compared to a best practice threshold. Segments can be evaluated for features that can be passed through a model. The model converts the features into code in the new programming language. Machine learning and rules databases are updated with details of the conversion.

Growing community of inventors

Yelahanka, India

Dinakar Channakal Krishnappa