iNeuron Tech-a-Thon

    Tech-a-thon is where the sweat, blood and tears drip on the floor.

Problem Statement - Data Science Domain

    Reverse Image Search Engine

The built models should be able to find database images that correspond to a given query image (i.e., the model should retrieve database images containing the same object as the query).

How to collect data?

     Collect data using online resources.

What to Submit:

● Data collection

● Steps of data wrangling.

● Model Training.

● Model Evaluation.

● Model Deployment.

● Create a web-based application to demonstrate the build solution.

● Follow MLOPS practices to build the project.

Note: Demonstrate the provided requirement using a web application.

  We have taken data science as our main domain and our problem statement is reverse image search engine.
  For this we have build web application as the platform to showcase our custom vision machine learning model. 
  The web application Foodies Thesaurus, focuses on the problem that many people face wherein they don't know the name of the dish. 
  Our web  Application is designed in such a way that with a single click a person can get the name of the dish, similar images, 
  its nutritional values, along with the video of its recipe.
  The tech stack that we have used to solve this problem statement are: in Frontend we have use React JS, in Backend we have 
  used Larval PHP and APIs. for the database we have used MySQL. for cloud we have used Microsoft Azure and Azure Custom Vision.
  The machine learning model works on Azure custom vision. We have used kaggle data set to train our model and have performed 
  data wrangling, trained our dataset in iterations for better model accuracy. Published our model on azure and have used the end 
  points and APIs for fetching the desired output.
  If a person visits the website, he or she has the option to upload any photo of the dish either using camera or system.
  The model will be able to predict the exact name of food, its nutritional value, similar images and recipe.

Link of Project:

Click here 👈👈

Team - HAMTHON

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