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