vbhumidev/intelligentbot-ibot-

I developed "Intelligent Bot [iBot]" which is a programmed application that performs an automated task in a conversational format using supervised learning [ML Paradigm] and Natural Language Processing [NLP]. It was programmed using C# and .NET libraries and designed using Microsoft Visual Studio, Bot Builder SDK, Bot Connector, Bot Emulator. NLP was done using LUIS to make the bot more interactive and natural along with computer vision like face detection, caption detection, emotion detection.

intelligentBot-iBot-

Intelligent Bot [iBot] is a programmed application that performs an automated task in a conversational format. It is similar to that of chatbots available now a days. It is facilitated by Microsoft Bot Framework that consists of Bot Builder SDK, Bot Connector, Bot Emulator. Language Understanding Intelligent Systems (LUIS) is incorporated for natural language processing [NLP] to give the bot more human like senses. Cognitive Services are API’s that provides an efficient way for the bot to be more interactive and better user experience. REST API is used to host the bot into an app or a website by returning JSON objects and the bot is programmed by C# & .NET libraries.

iBot was developed using supervised learning [ML Paradigm] and Natural Language Processing [NLP] along with computer vision like face detection ,emotion detection, predicting captions.

Existing System:

In Existing System, Bots are currently emerging technologies. Chatbots like ELIZA, ALICE uses only some predefined commands .

Disadvantages of existing system:

• Existing bots only produces result only according to predefined rules.
• They does not have the ability to learn and interact like humans.
• Existing bots are less intelligent.

Proposed System:

To nullify the demerits of existing bots, we can upgrade the bots to be more interactive by providing additional intelligence. Now a days since AI and ML are getting more attention, those highly powerful concepts and paradigms can be applied to improve the intelligence of the bot and make it more interactive.

Advantages of proposed system:

• The main objective of this is to provide intelligence to make the bots interactive .
• Language models can be incorporated to achieve Natural Language Processing (NLP).
• Cognitive services like face detection , emotion detection etc can be added to the bots .