Predictive analytics for level of fill data from IoT device

Predictive analytics for level of fill data from IoT device

alfred ongere

alfred ongere

Nairobi, Nairobi County

Design an IoT device for collective level of fill data, and then use machine learning for predictions from collected data

Artificial Intelligence, Internet of Things

Description

The goal is to design an MLMD(Mountable Level Monitoring Device) that can be used to monitor the level of fill of solids and liquids in regularly shaped containers. This data will then be passed through a machine learning algorithm for predictions based on data collected.

Gallery

Video

Medium img 20171105 145128

Sahil S. created project MapTrace

Medium 09c43f9c b237 4fb0 b043 0bf334b0d5ba

MapTrace

THE ISSUE :

There are so many cases of now days where we come to know that there some people are selling or consuming drugs nearby , but some time police remember's that place and some times not and which is not very good thing , and even it will not make easy to give training to new police officers which is not good .

OUR MAGIC SOLUTION :

We have created a app which can analyze all these thing , this app take longitude and latitude value from current location and also ask for name of Drug which is being selling or consuming by suspect and mergers all these datas to heat map and save it to firebase and generates Heat Maps from that .. which is very help full for us..

Medium 22279457 2468435569963813 2256757450865497527 n

SHIVAM K. updated status

Medium 22279457 2468435569963813 2256757450865497527 n

SHIVAM KUMAR ROY

Hello,I am still working on Android development program and web development also. I just want to lean about amchine learnig and AI ,to explore its use in whatever the things are around us.

Medium soubhik 20das

Soubhik D. created project Presentify-let's know where we stand

Medium 0cfe0ada a187 4bb4 a79c 5e040ddf131c

Presentify-let's know where we stand

Suppose we're speaking in a hall before a hige audience but are unable to know whether or not the audience is interested so that we can mix up with lightning talks, motivational stories, quotes, etc. At that time, our talk starts becoming boring and we start getting the tag of 'unwanted speaker'. This will never happen if we have the data, specifically data of dynamic and running time users' rating of the speakers. There just needs to be a few Realsense Cameras placed optimally in the hall and a person/bot with AR and or VR headset tracks the user's rating collectively (heatmap). Realsense cameras and the headset are connected. This promises to make every talk in the world interesting after gathering enough data.

Medium img 20171105 145128

Sahil S. updated status

Medium img 20171105 145128

Sahil Singh

Iam currently working on a life saving IoT device which helps diabetic type-1 patients to automatically regulate their insulin levels. And also gives notification on high or low blood sugar..

See More

No users to show at the moment.