Savvy - The Personal AI Assistant with IoT Based Smart Home and Avant Grade IoT Enabled Securities
Shreekant Gosavi,  Akshay Sambare,  Prof. Manoj Vairalkar
In this project we have created our own AI assistant as ‘Savvy’ Voice Command System as an Intelligent Personal Assistant (IPA) that can perform numerous tasks or services for an individual. These tasks or services are based on user input, location awareness, and the ability to access information from a variety of online sources (such as weather or traffic conditions, news, stock prices, user schedules, retail prices, telling time, local traffic, travel assistant, events, notification from social applications plus one can ask questions to the system, invoke its wolframalpha cloud otherwise from Wikipedia. The key difference between google assistant and our assistant is that our assistant has capability to solve mathematical question on screen within a second that’s of google assistant can’t do that computation. Using Raspberry Pi as a main hardware to implement this model which works on the primary input of a user’s voice. Using voice as an input to convert into text using a speech to text engine. It can control the home appliance like light, fan, TV, AC etc through voice command given through Savvy AI assistant which reduces human efforts by controlling the appliances from the place we are in. Make a simple home into SMART Home using different sensors connected using IoT. It also provides IoT based security using a trained camera with ML model and also using some other sensors like IR etc. We also created a website additionally from this site also user can control home appliances from any part of the world.
Keywords- Savvy, AI, Assistant, Raspberry pi, Python, Sensors, IoT, Smart Home, Security
Cite this Article
Shreekant Gosavi,  Akshay Sambare,  Prof. Manoj Vairalkar,   "Savvy - The Personal AI Assistant with IoT Based Smart Home and Avant Grade IoT Enabled Securities"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.418-421, January 2020, Available at :http://www.ijedr.org/papers/IJEDR2001080.pdf