Prabhu Mahesh Patil

1. Blind - for - Students | GitHub

Tech Stack: Next.JS, PostgreSQL, Prisma, Typescript 

○ A blind like application that allows students to post doubts or queries anonymously.

 ○ PostgreSQL as a database along with Prisma to simplify CRUD operations, Next.JS as a full-stack react framework and TailwindCSS for styling components.

2. Dog - Breed - Identification | GitHub

Tech Stack: Tensorflow, Google Colab 

○ Utilized Tensorflow and Keras to develop a convolutional neural network (CNN) for identifying 120 different dog breeds from images. 

○ Achieved a top accuracy score of 0.65126 on the competition leader-board. Employed transfer learning with pre - trained models to improve prediction accuracy and model robustness.

3. Bulldozers - Price - Prediction | GitHub 

Tech Stack: Scikit - Learn, Jupyter Notebook 

○ A machine learning model to analyze and predict the prices of bulldozers based on historical data.

○ Analyzed 52 variables and handled missing data with various methods and used over 400,000 rows of data for training and validation.

• Rated 1769 (Top 9%) in Leetcode.
• Solved over 500 problems relating to Data Structures and Algorithms over all the platforms.