Guidelines for Proposal Submission

Following are the guidelines for proposal submission

Please mention type of Proposal as given below in the Title of the Proposal.
The proposal should have an objective with clear expectation for the audience.
The Proposal description should be short and to the point.
The proposal should have proper prerequisites like environment setup, library version.
No proposal will be selected without a link to appropriate session content like presentation, pdf, code snippets etc.
Proposal content should adhere to code of conduct.
Proposal content links can be updated later.
Proposal content shouldn’t have a company name throughout the content. Mention of the employer is allowed only at the beginning of the content (presentation/pdf).
Background image/wallpaper shouldn’t contain company name/logos.
For any questions, please write to contact@hydpy.org.

Proposal Types

We have three kind of Proposals - General Talks, Lightning Talks and Workshops. Please mention the Proposal type in the Title of the Proposal. Give a Title like Proposal Type : Proposal Title

General Talks

These are the traditional talk sessions scheduled during the first day of conference. They will be conducted on Day 2 of Conference, Sunday, 8th Oct. The length of these tracks are 45 minutes.

Lightning Talks

These are short length talks that will be conducted on Day 2 of Conference, Sunday, 8th Oct. The time limit is 5 minutes. But we can extend it depending on number of talks submitted.

Workshops

As with the talks, we are looking for Workshops that can grow this community at any level. We aim for Workshops that will advance Python, advance this community, and shape the future. Each session runs for 6 full hours plus a break for lunch. There will be 2 workshops going parallely on Day 1 of Conference, Saturday, 7th Oct in the same venue that hosts the main conference. Workshop I is aimed for Begineers while Workshop II is a Advaced Session aimed for Professionals.

Themes and Topics

These will be the themes and topics

Core Python and Python 3 features
Concurrent and Asynchronous programming in Python
Data Science and Analysis
Web Development
Python and IOT
Functional Programming
Artificial Intelligence
Continuous integration and Deployment
Testing
Scientific Computing
Cloud computing with Python

Important Dates

31st August, 2017 : Deadline for Proposal Submission
16th September, 2017 : Talk selection and announcement

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General Talks: Build a chatbot from scratch using open-source tools

Submitted Aug 26, 2017

Technical level: Intermediate

This talk will show you how you could use open-source tools to build a chatbot without handing your data over to third parties (Facebook/Microsoft/Google,etc.)

You will learn:

how a chatbot works behind the scene
how to transfer knowledge to a chatbot
how to build a production-ready bot which you would own completely
how to use Socket.IO to allow real-time communication with your chatbot.

Outline

Introduction: motivations for building your bot in-house
Chatbot architecture.
Understanding the components of chatbot -
- Natural Language Understanding (NLU)
  - Intent Classification
  - Entity Extraction
- contextual dialogue management using Finite State Machines (FSM)
- Response Generation
- Knowledge Base
How to use Open Source Tools to build your own chatbot:
- Rasa.AI (having configurable backends like spacy/sklearn/mitie) - to build intent & entity extraction.
- Transitions - to build a context manager using FSMs.
- ChatterBot - to generate automated response based on historical conversation.
- Socket.IO - to build a real-time communication system.
Demo

Requirements

Basic knowledge of NLP and Machine Learning.
Basic understanding of Finite State Machines.
Familiarity with Python.

Speaker bio

Saikat Kumar Dey - I am a Data Scientist at Endurance International Group. I have been working on building a conversational assistant for Customer Support in my company. I have worked on customer segmentation & retention efforts in the past.

Parth Savjani - Associate Data Scientist at Endurance International Group India
More than 3 years of experience working with Data related field ranging from Data-warehouse to predictive modelling on transaction data, postgraduate from IIIT Bangalore with Data Science major.