JanataHack: Machine Learning for IoT

IoT devices are becoming popular nowadays. The widespread use of IoT yields huge amounts of raw data. This data can be effectively processed by using machine learning to derive many useful insights that can become game changers and affect our lives deeply.

ML is becoming an essential player in a growing array of process areas involving image recognition, natural language processing, forecasting, prediction, and process optimization. ML is evolving to the point of being able to draw interesting patterns and inferences from these real time data streams, and make those results available to analysts as well as to embed them directly in business processes.

This weekend we bring to you a challenge providing all of you with an opportunity to work with sensor data and solve an interesting IOT problem.

FAQs

1. Where can I find the dataset and the problem statement for the hackathon?

The contest will go live on the designated contest start date and time. There is a timer that is shown at the top of this page which shows the remaining time before the contest goes live. This is when you can access the problem statement and datasets from the problem statement tab.

1. Are there any prizes/AV Points for this contest?

This contest is purely for learning and practicing purpose and hence no participant is eligible for prize or AV points.

2. Can I share my approach/code?

Absolutely. You are encouraged to share your approach and code file with the community. There is even a facility at the leaderboard to share the link to your code/solution description.

3. I am facing a technical issue with the platform/have a doubt regarding the problem statement. Where can I get support?

Join the AV slack channel by clicking on 'Join Slack Live Chat' button and ask your query at channel: janata_hack