The problem IOT Based Smart Switchboard solves

Electricity Consumption of a metropolitan city like Bangalore is very high, people loose a hefty sum due money due to carelessness. We cant analyse anything from the bill like which appliance adds to what percentage of the bill. If our fridge malfunctions it starts taking a lot current untill we figure it out, and we already lost thousand's due to abnormal behavior.
We cant see the usage history and usage time of any appliance. In every commercial building we have to assign a person that ensures that the AC's and light are off after everyone leaves the building. It is very hard to predict the Bill that is about to come.
We can't compare out electricity usage with last month without a bill.

User can observe realtime usage/cost of each and every appliance,.The system predicts bills according to daily usage via self learning machine learning algorithm. The system is totally synchronous, multiple users can controll the same board at the same time. Cost Limit and timing control are given to users. For example Night lamps are supposed to to turn on on night only.
Our project monitors, optimizes and manages electricity consumption at consumer level. The need is to cut out the power wastage to contribute towards sustainable development.

Challenges we ran into

Due to less hardware we were'nt able to test the software for multiple users. There are some bugs in system due to less time Such as we have to start the server after powering up the Raspberry pi. Bill Prediction is less Accurate in some cases Due to very less data, but it keeps becoming more accurate with more usage. We cannot Add more than 10 Devices Because of less GPIO pins in Raspberry PI.