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How RailMitra App uses AI & ML to make your Train Travel more predictable?

In India Trains are still the most preferred method of travel for masses and the size of travellers who travel each day with Indian Railways is massive. The information is key for passengers traveling via train to keep their travel comfortable and cut the several issues they have to face, RailMitra is the answer to multiple issues train travellers come across in smarter way using cross platform App with PWA capabilities which lets it work seamlessly across devices and platforms.

What RailMitra app does for train Travellers?

RailMitra as the name is a friend for every train traveler currently you can get information about your PNR status, Predictions or chance of Wait-list ticket confirmation, Train Running Information, Train Schedule, Fare information etc. which uses Artificial Intelligence and machine learning practices in background. Later team of RailMitra have roadmap to offer multiple services to train travellers such as Order Food in Train, Book Train Tickets, Book Bust Ticket and more.

How RailMitra App is implementing AI & ML practices?

“Nitish Kumar” the founder of RailMitra is focused on implementing Artificial Intelligence , Machine learning practices in RailMitra Mobile and Web application. As a lead product developer for RailMitra I have been heading a team of developers to implement various AI and ML techniques to make app more useful for users and provide information they need. Not only we are trying hard provide recommendations and information about Train Ticket but our engine is also gathering huge amount of data for every user search to make their user experience great.

Apart from improving user experience we are gathering historical data of all trains running instances to provide you recommendations for booking train ticket, food or plan your travel based on train delays predictions and more. These features would roll with time as we gather more data.

Summing Up

As we are dealing with huge data-set and processing information we would frequently release train running performance reports users feedback about stations and more.

Consequently, as RailMitra expands and progresses I would share more information on it. Working with such app while learning and implementing AI is a highly exciting for me. If you have any thoughts on this app or have anything to say do share your ideas, feedback and recommendation to me at my Twitter handle @XVIVEK do follow me and share this article from below.