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Akshay Syal's Projects

automated-etl-pipeline-google-playstore icon automated-etl-pipeline-google-playstore

Implemented ETL pipeline on AWS for Playstore data using Lambda, Glue Crawlers, and Glue ETL Jobs. Orchestrated workflow with Step Functions and achieved seamless integration, optimal data merging, and enhanced data quality/accessibility.

flower-pred-app icon flower-pred-app

My first attempt to deploy ML model. Model is deployed @ https://flower-pred-app-02.herokuapp.com/ and index.html makes a post request to the route.

func-box-task icon func-box-task

I have created a react that allows user to register, login and upload their notes in the data base. To run this project please download the code. Then run command "npx create-react-app". Then run the command "npm start" on the main folder. Open the backend folder separately and run "nodemon index.js" or "node index.js".

github-finder icon github-finder

Simple react web application that lets you search github users and display some of their info. Github API is used. State is managed using Context.

image-stitching icon image-stitching

A python package to stitch multiple images either horizontally or vertically

mlops icon mlops

Machine Learning In Production (MLOps)

mlops-lab1 icon mlops-lab1

Lab 1 of MLOps. Learning outcomes: creating a virtual environment, creating a GitHub repository, creating Python files, creating test files using pytest and unittest, and implementing GitHub Actions

mlops-lab2 icon mlops-lab2

Learning Objective: use GitHub Actions to automate the process of training a machine learning model, storing the model, and versioning it.

openocrcorrect icon openocrcorrect

An end to end Interactive Interface for correcting mistakes in OCR output.

react-revise icon react-revise

Made a very simple todo list to revise react and learn how to deploy the site.

road-condition-rating-system icon road-condition-rating-system

Created a Road Condition Rating System which consist of a multiclass image semantic segmentation model that can segment common pavement distresses like potholes and cracks. The model is trained on the SHREC 2022 PotholeMix Dataset. The system utilizes the model to calculate rating of road as per norms described in IRC 82 handbook.

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