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Ronil Patil's Projects

autodoc icon autodoc

Automate project documentation task

badges icon badges

Generate your LeetCode badges ✨

cicd icon cicd

Built e2e ci/cd pipeline with GitHub Actions, Docker, and hosted to Cloud(Render)

cicd-aws icon cicd-aws

Built E2E CICD pipeline with GitHub Actions, Docker, DockerHub and, Amazon EC2.

covid-19-detection-using-deep-hybrid-learning icon covid-19-detection-using-deep-hybrid-learning

Image classification using XGBOOST by extracting features using VGG16 ImageNet. This project explains the process of using XGBOOST for image classification using pre-trained weights (VGG16) as feature extractors.

creditcard-dvc icon creditcard-dvc

Implemented data versioning, model experimentation & CI using DVC, DVClive, and GitHub Action.

evalml icon evalml

Breast Cancer Prediction using Automated Machine Learning

fastapi icon fastapi

Develop & Dockerize ML Microservices using FastAPI + Docker

iot-stack icon iot-stack

In this repo. you will get various IoT projects including minor as well as major projects.

live-weather-monitoring-telegram-bot icon live-weather-monitoring-telegram-bot

It is a IOT project where different sensors are connected and send data to Telegram Bot(Rex), which is programmed to get real time weather data using different sensor's. Different commands are set using which bot will show you live weather data.

live-weather-station icon live-weather-station

Weather Station send all data to global server and plot the sensor reading(Temperature, Humidity, Altitude, Atm. Pressure and Air Quality Index(AQI)) on web server using ESP32. The ESP32 host the web page with read time charts that add new reading after every 10 sec. The whole data is save in database which can be used for further analysis.

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

potato-leaf-disease-classification-webapp icon potato-leaf-disease-classification-webapp

Built a Potato Leaf Disease Classifier web app using Streamlit and deployed it on Heroku. Internally, the model is built using a simple Convolutional Neural Network Architecture to classify potato leaf diseases.

t20-score-predictor-web-app icon t20-score-predictor-web-app

Built an End to End Men's T20 International Score Predictor Webapp using Streamlit and deployed it on Heroku. Here Complex Neural Network Architecture is created using Keras Functional API and finally, embed the model into the web app.

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