Challange 1

• We used NodeMCU esp32, ultrasound sensor, load cells and some other components.
• This is a IOT based solution and result are sent via API to backend
• Some of the sensors need calibration at startup.
• This model is buget friendly and it consumes very low power.
• For future scope, we can add screen and barcode scanning device to this device and make it more user friendly

Route = Best(			Savings,			Rayfinder,			AP3)

Route

Regular gready algorithm scaled to run over 2000 points instead of 50 points using 2 points and binary search. Optimize further using GA search.

custom algo which tries to minimize missed EDD over one subset of points by serving them first and minimizes total distance over remaining subset.

Forms a cluster for each driver.Clusturing is done to maximize varriance in EOD for each driver, next it serves them using ray tracing.4

Dynamic Pickup

Genetically Optimized greedy insertion heurestics.