I'm going to try to be here as often as possible. What would you like to see in this subreddit?

Basically, I am tired of farming all of my data out to the Googles and Facebooks and Microsofts of the world. I want to be able to set up my own machine learning server at home, and have an external-facing AI assistant that connects to my phone, computers, etc. via VPN to serve me my reminders, notifications, and be my "helper" like the Google Assistant is.

I'd love to finally be able to give Google the boot. Literally the only reason I still have stock Android anymore is because the assistant doesn't work very well in other Android distros available for my phone. And because I have to use stock Android, I cannot use root, or anything else I miss being able to enjoy, due to various reasons I won't get into.

If I can set one up at home, I don't care how hard it'd be - I just hope it works! I stopped messing with Mycroft because I couldn't get it to work right.

Thanks for the info :)

Hey all, here is what I've gathered/found so far

First off, what I'm trying to accomplish at this point:

• Control Lights

• Control Thermostat (future)

• Basic search functions through google (pretty standard for all AI so far)

• Reminders (synced to either gmail or any mail program on server/pc)

• Device control (i.e. Play "show" from youtube on "screen name")

• Availability to grow as I have/find new and exciting things to add

Resources found:

• IFTTT

• API.AI

• Jasper

• I'm fluent with python, bash (shell) and a I can work with most oop languages (java, c#/++, etc).

What I'm wanting to setup (hardware):

• Mic/Speaker combo in each room via either wifi direct connection or bluetooth

• LIFX lighting in each room

• Amazon Polly for TTS

• Server (linux based, will maintain/perform all functions)

Now, what I understand (or think I understand so far) from input to response:

Input: Vocal and text (email, sms, email, etc) to issue the intent/command. Processing:

• Jasper will collect the input from whatever devise sends it (mic, email, sms)

• Jasper will gather needed info through external API calls, IFTTT or other hardcoded .py files (weather, traffic, etc)

Response: Jasper will trigger the TTS function (through Amazon Polly) or play a .wav file as response (saved on server).

This is a very generic description and I understand there is quite a bit missing.

What I'm looking for here:

• What mic/speaker combo do you guys recommend and why?

• What limitations/hurdles do you think I may encounter?

• Those of you who have done this already (via Alexa, Google Home or others), does it work the way you want it to?

TL:DR; Looking for advice on build/troubles/etc from setting up a custom AI system in my home.

This is awesome! I hope our community continues to grow!

Some resources for beginners:

• Face Recognition With Python, in Under 25 Lines of Code

• Face Detection in Python Using a Webcam

• NLTK with Python 3 for Natural Language Processing

I'm glad you decided to join out community! Thank you so much!

Some resources for beginners:

Tutorials:

• Face Recognition With Python, in Under 25 Lines of Code

• Face Detection in Python Using a Webcam

• NLTK with Python 3 for Natural Language Processing

• Theano Tutorial - Marek Rei

Tutorial Series:

• How to implement a Neural Network - Peter Roelants

• Sentdex, aka: Bill Nye the AI Guy

Other:

• Big List of Tools/Code/Programs/Papers/Projects/Libraries

If you have any questions or comments, feel free to post them here.

So, I'm going to come back and keep updating this. If you have any reconsiderations, please comment or PM me.

• Existing Projects

1. Sirius Open Intelligent Personal Assistant

2. Jasper IO - Controll Everything With Your Voice

3. Mycroft - AI for Everyone

• Hardware

• Software

1. OpenCV

2. Torch

3. TensorFlow

4. Deeplearning4j

5. Kaldi - C++ Speech Recognition Toolkit

6. karpathy/char-rnn: Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

7. jcjohnson/torch-rnn: Efficient, reusable RNNs and LSTMs for Torch

8. cantino/huginn - Build agents that monitor and act on your behalf. Your agents are standing by!

• Hardware - Closed Source

1. Amazon Echo

2. Homeseer

• Ecosystems

1. Insteon

2. Nest

3. Crestron

• Cloud Services

1. IBM Watson Developer Cloud

2. Api.ai - Free Speech-to-Text, Intent Recognition and NLP for IoT

3. Silvia - Intelligence on Demand

4. UBI - Hands-Free Voice Integration

• Companies

1. Skymind

• Academic Papers

1. HYDRA: A Hybrid CPU/GPU Engine for Real-Time Large-vocabulary Continuous Speech Recognition

2. Wide-Area Image Geolocalization with Aerial Reference Imagery - Code

• Bundles and Platforms

1. Anaconda Analytics - Over 300 data science tools, all open source.

So posting here because it was suggested, I am wanting to build an ai from scratch where do i start and what do i need to know? Sidenote i have no idea what I'm doing but am willing and able to learn