RITIK YADAV

I built an Iris Flower Classification project that predicts species from sepal and petal measurements, and explored the data with visualizations and a confusion matrix.

For House Price Prediction, I developed a Linear Regression model and an end-to-end pipeline for preprocessing, training, and making predictions with a serialized model.

I also built AI Code Reviewer, a Django application that sends code to the Google Gemini API and returns structured reviews. It includes user authentication and persistent review history.

On IntellMeet, a team project, I worked as the Backend Developer and owned the JWT-based authentication module. I implemented registration and login, token handling, and protected-route middleware, and completed AI/ML and web development internships at QSkill and Cognifyz IT Solutions Pvt. Ltd.