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A Chatbot of me, named “Dr.#” My last name is “Hash,” hence ‘#’, based on Nvidia APIs

  • Posted at : 2 months ago
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MD

USA
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Deliverables

Working Chatbot
hosted on my website.
Commented code in
C++ (prototyping in Python, if applicable).
Hardware &
software recommendations to maintain & improve Chatbot.




Background
I am the world’s
only-ever simultaneously licensed doctor, lawyer, accountant &
engineer. I have also traveled extensively, and am a published
writer. From an extensive history of debating online, I have
harvested & categorized my personal responses in the form of
short quotes. I want a Chatbot that is indistinguishable from me
debating topics, using the chess-like strategy (decision trees &
state diagrams) I use in debate. Eventually ML will create its own
strategies from my training of it against real debate adversaries.
This will expand to include all areas of knowledge, starting with my
own expertises, with the ultimate goal of interacting in Social
Media, hosting a podcast, teaching online university courses, writing
books from my outlines, and running for political office.





Stage 1:
Text i/o through my
webpage. (NLP, determine intent, decision tree, history, database,
ML)
Complete
interactive session with greeting, debating “liberty.”
Use NVidia APIs.
Determine computer
configuration.
I should be able to
educate & train.
I own Source code,
and should be able to make programming changes.
Stage 2:
Speech recognition.
Synthesized Voice
output.
Video output of me.
Stage 3:
Add doctor, lawyer,
accountant, engineer, economist, priest by synopsizing web links,
identifying keywords, and determining responses. These are
professional answers and not unique to me. They may not even be
trained by me, though they can be.
Add personal
history, travel, including links to pictures & videos.
Add
applause/insult.




Additionally:
Future features &
changes
Hook to my forum,
Facebook, Twitter, etc.
App for iPhone




Components


  • Multiple
    specialty databases, i.e. (Education, Healthcare, Charity, etc.)
  • Database
    entries contain: keywords, quality weight, suggested position in
    state diagram, total times used, total times used this user, total
    times used, this session, quote
  • State machine
    matched to keywords. Allows nesting.
  • Each quote is
    scored on insight, humor, importance, accuracy.





Example Session
(Identify user
and history of correspondence.)

(Initial
Greeting.
)

Response: Hello.
Response: What kind
of question do you have?

(Determine
intent.
)

Query: What is
liberty?
Response: liberty =
opportunity X freedom
Query: What is
freedom?
Response: Freedom is
the lack of constraints on liberty.
Query: Taxes should
be fair.
Response: There
doesn't have to be taxes; instead print money.
(Some intents
require multiple responses.)

Response: However,
taxes are needed to prevent wealth concentration
Query: The goal
should be equality.
(Nested Debate)
Response: Are we
still talking about liberty?
Query: equality is
liberty.
Response: No.
Response: Equality
is the opposite of liberty.
(Maintain history
of correspondence.)





Bidding
Bid
each stage separately. They are listed together to help you select
your implementation strategy & hardware requirements.