J.A.R.V.I.S. is a personal home automation assistant for controlling electrical home appliances integrated with an augmented reality app.
A DIY Google Home using your Raspberry Pi.
With a lot of inspiration from Boston Dynamics projects, I'm trying to make something great without million dollars.
How to make a connection between an internet service and Arduino boards.
An Alexa enabled door lock with face recognition and remote control.
Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.
Pose estimation on a Raspberry Pi to guide and correct positions for any yogi.
Using AI to detect and monitor objects, then to connect and record it on the IoT platform.
Get started with TensorFlow object detection in your home automation projects using Home-Assistant.
They took our jobs, they will take our fun!
Robot that drives around autonomously in greenhouse environment and identifies diseases.
"Rex, the Robot" will try finding how to scape from a "labyrinth" on the shortest and fastest way.
Bring both Google Assistant and Alexa to your Raspberry Pi.
Detect human face details with the help of an Arduino. Store detection results in into cloud data storage.
Self-driving rover using computer vision and deep learning to identify and clean up small pieces of trash.
You can't beat Mumbai traffic but you can have some fun while in it.
Using AI to detect dangerous bacteria and harmful particles in the water.
Showing my progress in building the dashboard and flight control systems,follow up on channel and github repo to keep track:
This is an automatic system controlled by an Arduino 101 that improves plant quality in our modern, urban society.
We collaborated with Nanonets for automation of remotely monitoring progress of a housing construction project in Africa.
Applications of Future draw their intelligence from a wide variety of source (Web 3.0 connected databases).
Using Ultra96 and NCS to detect and classify skin cancer.
This is a 360 radar using an ultrasonic sensor that saves data and encodes them onto an image.
This project demonstrates the use of different technologies & their integration to build an intelligent system to interact with humans.