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Jarvis : The personal assistant that you deserve!

Based on Reddit dataset

Link: potatocodes.in/Jarvis

Pre-requistits :

  • OpenCV
  • Tensorflow
  • NLTK
  • Keras
  • redis

Using NLTK to build jarvis.

Stage 0 ( Hands on ML with Scikit-Learn & Tensorflow ):

  • MNIST and Linear Regression
  • Linear SVM Classifier
  • Decision Trees
  • Ensemble Learning and Random Forests
  • Dimensionality Reduction
  • Artificial Neural Networks
  • Training Deep Neural Nets
  • Distributing Tensorflow
  • CNN
  • Recurrent Neural Networks
  • AutoEncoder
  • Reinforcement Learning
  • React Landing Page

Stage 1:

  • Get acquainted with NLTK
  • Process some text and check results

Stage 2:

  • Design : how this bot is created
  • Submit Features

Stage 3

  • Training the base model to have the ability to play chess with me

  • First train the model with the available datasets on chess and its moves.

  • Then using OpenCV watch the chess board and play chess realtime with me.

Supporting recognition of speech to text

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