Technical Incharge

• Aug 2022 - Present

Microsoft Engage Mentee

• May 2022 - Jun 2022

Build a Movie recommendation engine using a collaborative filtering technique using cosine Similarity Keep a track of user searches and storing in MongoDB Database by using a sorting algorithm to know which type of movie the users like the most and recommending the top 10 movies of their interest Also, provide a complete Movie Description along with their character info using IMDB API using Axios Build a user interactive website using HTML JavaScript, Tailwind CSS, and integrated Recommendation Engine using Flask and deployed it using Heroku

Machine Learning Intern

• Mar 2022 - Apr 2022

Build a Machine Learning Model to Predict the Air Quality Index based on current climatic conditions using the XgBoost Algorithm with an accuracy of 98.25% Using TimeSeries Models Like LSTM to Forecast the AQI Value for coming Months Using REST API to get real-time data of weather and Predicting the AQI Value of user Location Build a web application and integrated ML Models with the help of Flask and deploy using Heroku,Docker, and GitHub Actions Build a Machine Learning Model to Predict the Air Quality Index based on current climatic conditions using the XgBoost Algorithm with an accuracy of 98.25% Using TimeSeries Models Like LSTM to Forecast the AQI Value for coming Months Using REST API to get real-time data of weather and Predicting the AQI Value of user Location Build a web application and integrated ML Models with the help of Flask and deploy using Heroku,Docker, and GitHub Actions