This is my NLP project where i have used huggingface pretrained model api in order to summarize the text content.I have build end to end website using flask api where user can easily get high quality text summaries they required.Iam also trying to build my own custom tranformers for training my nlp models.
Designed and built an end-to-end scalable machine learning pipeline using Mlops in which i have integrated everything on a frontend so that user can get log file,artifacts,model binary file and also save the data to the database which can help for future retraining and also you can perform complete retraining of the model by just one click.The main aim is to build an entire system of a machine learning so that it can be used in realworld scenario.
This is my college PCL(project centric learning) group project with a team of three people.Here i have majorly worked on building ML and DL models and also i have used flask as backend for building web applicatication and for the automation of the project i have integrate **CI/CD** pipeline using circleci.
The End-goal of this project is to give people an estimate of how much they need based on their individual health situation.So here I have implemented End-End Machine Learning project using MLOPS lifecycle.Built CI/CD pipeline.DVC(Data Version Control) was used here for track ml model.It was regression problem statement and in order to get best accuracy I have used GradientBoostingRegressor to solve the problem which gave r2_score of 85% after tuning parameters.