Traderiser

To develop a platform that converts natural language to SQL queries, the client wants a platform where we can add databases as data sources and for retrieving the data instead of using complex queries in SQL we can simply ask questions in plain English, and the platform will provide all answers needed. The problem is widely popular in the Natural Language Processing domain as a “Text-to-Code” conversion. We Created the Hybrid approach to tackle the problem where we are using statistical as well as deep learning to solve it.

• Natural language processing to solve the Text-to-code problem
• Deep learning-based as well as statistical models aka Hybrid approach
• Google Bigquery for warehousing the data sources
• Django APIs for easy interaction with the platform
• Google IAM authentication in GCP