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what i learned from Machine Learning Hackathon?

https://cdn-images-1.medium.com/max/1600/1*dE4F_nf8P60V2baaaOxgLQ.jpeg

First i will tell you what my topic is all about, my idea is to integrate AI with Restaurant based app

okay what is the big deal?
  • Using the bills we can predict how much raw material can be bought so we can minimize food wastage
  • We can also able to identify customer pattern which are more likely to buy after x item 
  • Last thing based on the feedback we can find mistake in us and improve it
Let's see what are the algorithm we are planned to use

Avoid Food Wastage: Using Time Series algorithm

For identify Customer pattern : FP Mining ( Frequent Pattern Mining ) is an algorithm that will predict the y after x items bought but we need to train it with existing data

Feedback : Sentimental analysis which separate the positive and negative comments then we will apply another algorithm to predict negative comments about which food item using naive bayes we give keywords such as Briyani,Rice.. the algorithm check whether it is available or not and how many times the keyword used

This what we planned,but we cannot complete the hack on time

Just explained our ideas to the people

Other cool project in the hackathon are
  • Chat Summarizer - Which learn to summarize the chat and present you with important message 
      • Usecase: when you have more than 60+ message most of them avoid reading it this project help them to read it 
  • Malware detection - This uses Navie bayes algorithm to learn malware detection 
  • Fill Form - You can fill a form just taking a picture of the data what you need to enter.Algorithm used - OCR (Optical Character Recognition) , address parsing , phone parsing 
  • Build a Form - Using OCR(Optical Character Recognition) you can able to construct a form 
  • BlackMirror - The project which is similar to TLDR in which you can paste the policy agreement it will summarize and tell you the essential thing in short and crisp manner
  • Markovian Chains for In-product Help
and lot more that's all i can remember

Lot of fun and cool experience

Attend lot of Hackathon find new friends and learn new things

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