The fundamental point of our venture is the track swarm at a specific metro station and recommend a man go to a metro station which is lesser crowder.
In the Go Green activity, we actualized an e-rickshaw booking strategy. E-rickshaw is the most ideal approach to movement short separations.
It is a product that aims upon reducing the time and effort of the user via an android application.
The user will input its location and its preferred date and time for traveling via metros.
Our system will predict the list of nearby metro stations (rank-wise) according to crowd intensity to optimize user travel time.
Further, we have added one more feature “book your ride” and guess what?
Your ride will be an e-rickshaw.
Reasons for this:
- Environment-friendly in terms of pollution.
- Resource pooling in order to cut traffics on roads.
- COLLECTION OF DATA
- PREPROCESSING OF DATA
- ANALYSIS ON DATA
- ANDROID APPLICATION TO INTERACT WITH USER
- BACKEND APIs TO PROCESS USER REQUEST
- PREDICTIONS USING PREPROCESSED DATA
- SERVER AND DATABASE ON AWS
- ANDROID UI DESIGN
- INTEGRATION WITH BACKEND API
- BUSINESS LAYER LOGIN
- NOSQL DATABASE MANAGEMENT(MONGODB)
- SERVER AND DATABASE HOSTED ON AWS
- Shrey Batra - Backend
- Ayushi Jain - AWS Cloud Hosting
- Shaurya Uppal - Data Generation and Scaling
- Anuj Jindal - Android And Cloud
- Akshat Aggarwal - Data Scaling