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This project aims to implement lexical and syntactic analyzers for the AVISMO language used in Molecular Visualization Environment. The Context-Free Grammar defined in the article "A Context-Free Grammar for the AVISMO Molecular Visualization Environment Language" will be used to achieve this.
Developed a GUI tool for compiler designing purpose using Java Swing , Python lex and yacc , python for file handling and shell scripts for connectivity
Columbia FinTech Boot Camp Homework - Creation of an AWS Lex chat bot, enhanced with code in AWS Lambda, to simulate a robo-advisor portfolio selection questionnaire.
A bot that will recommend an investment portfolio for a retirement plan. You were hired as a digital transformation consultant by one of the most prominent retirement plan providers in the country; they want to increase their client portfolio, especially by engaging young people. Since machine learning and NLP are disrupting finance to improve c…
A serverless, microservice-driven web application. A Dining Concierge chatbot, that sends you restaurant suggestions given a set of preferences that you provide the chatbot with through conversation.
convert your csv files with values and synonyms to JSON in the appropriate AWS LEX slot format. Run this script and upload the output .json file directly to your AWS Lex slots page. Convert csv to json for aws lex slots
Simple C parser construction. C lexer created using ply lex (lexer.py). C parser using ply yacc (parser_yacc.py). C parser using an implementation of recursive descendant algorithm (parser_algo_desc.py).