In this project, I combined my AWS skills with my existing Python superpowers to create a bot that will recommend an investment portfolio for a retirement plan.
I accomplished the following main tasks:
Configured the initial robo advisor: Defined an Amazon Lex bot with a single intent that establishes a conversation about requirements to suggest an investment portfolio for retirement.
Built and tested the robo advisor: Made sure that the bot works and accurately responds during the conversation with the user.
Enhanced the robo advisor with an Amazon Lambda function: Created an Amazon Lambda function that validates the user's input and returns the investment portfolio recommendation. This included testing the Amazon Lambda function and integrating it with the bot.
The technologies required for the program to run are as follows:
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This project consisted of the following:
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Configured the initial robo advisor
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Built and tested the robo advisor
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Enhanced the robo advisor with an Amazon Lambda function
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test_bot_recording.mov
invalid_data_bot_test.mov
valid_data_bot_test.mov
Scott J. Marler
LinkedIn Profile: https://www.linkedin.com/in/scott-marler-212040b6/