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Total prize pool of $72,000
All projects (54)
The aim of this project is to determine the effect of climate change on river water quality.
Using QuickFeather to do flood monitoring using intelligence at the edge.
QuickFeather MCU gets rid of Bn toxic batteries, talks with Plants[bot. ] about the Weather and stimulates them to make more Oxygen for us.
Airify is an autonomous low cost air condition monitor that design to operate in hostile for an extended period of time.
Realtime measurement and prediction of Air Quality Monitoring
Non-intrusive energy consumption analysis for effective climate change mitigation using machine learning at the edge.
Detecting home appliances from Voltage & Current waveform using Machine Learning and Monitoring Remotely.
Monitors vital signs and environment variables for firefighters safety in real-time
A way to monitor the forest's health with an autonomous blimp.
Using ML @ the edge to solve energy crisis by monitoring air conditioner health by vibrational data analysis
Helping farmers protect crops by detecting locust attacks with Quicklogic and SensiML
A cloud-connected AI-enabled traffic enforcement solution to traffic jams
An air quality monitor node that notifies law enforcement against illegal stubble burning
Forest Fire Rescue
A portable device to monitor vehicular emission.
Early detection of climate change by monitoring frogs
Birds are migrating earlier each year due to climate change. Let's track their arrival to better allocate conservation resources.
Wild bees are threatened by the effects of climate change. This project may help to document their decline in number and variety.
Controlling ACs with respect to external climate and user health for Climate Control
Monitoring river water quality based on open-design multi-parameter sonde, built along with QuickFeather and SensiML service.
Our previous project did visual disease detection for plants, this is an addon to monitor soil and temperature in addition to the original.
Detecting wide range of sounds with AI for different kinds of climate changing events like Heavy Rainfall, Thunder, Hailstorm and more.
New methodologies of horticulture based-on high-end technology are urgently required to transform the way in which the world is fed.
Machine learning based earthquake detection system is presented in this project.
