Problem Statement
The problem deals with the typical traditional chatbot simply created only on 1 output rather than multiple outputs. The fundamental method flow is the same whenever any input is entered. The new search is done, regardless of any association with previous output. The analysis should focus on enabling the chatbot to become intelligent ensuring that the search is based on the previous learnings. Hvanatge Gives teh best.
Our Solution
AI Chatbot platform is being developed with the vision to provide a common service provider for various AI conversational API including Dialog Flow, AWS Lex, and IBM Watson as well as self-developed AI Conversational Bot. The user will be given the option to choose which API to use whether Dilogflow, Custom Model, Watson or any other. The data will remain on the platform and so the user won't have to start from scratch if they want to change the API provider.
Data Science, Machine Learning, Artificial Intelligence
Python, Haskel, React JS
Flask
Gensim, Keras, Pandas, spacy
