NUKALA SRIMANTH REDDY

Highly enthusiastic and motivated individual with a strong passion for machine learning and artificial intelligence. Commited to gaining valuable industry experience and learning essential skills that will propel my career in the field of AI and ML. With a keen interest in problem-solving and innovation, I am dedicated to making meaningful contributions to projects while continuously expanding my knowledge and expertise.

• Python - Basic
• Problem Solving - Basic
• SQL - Basic
• Intro to Machine Learning
• 2-Day Workshop in Augmented Reality
• Pandas
• Java Basics for Beginners : Learn Java Fundamentals by Coding
• Database Design
• Database Programming with SQL
• Learn Advanced Java Programming
• Advanced Data Structures through Java

Housing Prices Predictor with Forest Tree Regression: The Housing Prices Predictor project aims to develop a machine learning model that accurately predicts housing prices based on various features such as location, size, amenities, and other relevant factors. This project specifically utilizes Random Forest Regression, a powerful ensemble learning technique, to create a robust predictive model for housing prices.

SustainEats - Guide to Sustainable Eating(Web Development): SustainEats aims to address this challenge by providing a comprehensive web platform that empowers users to make sustainable food choices. By offering features such as food sustainability ratings, a seasonal food guide, sustainable recipes, meal planning tools, and a carbon footprint calculator. SustainEats equips users with the information and tools they need to adopt a more sustainable diet and reduce their environmental impact. Through SustainEats, users can discover which foods have the lowest environmental impact.

Markstimator - Marks Estimator (Python Application): The "Markstimator (Marks Estimator)" project, conducted at CVR College of Engineering under the Department of CSE (Artificial Intelligence & Machine Learning), aimed to develop a practical tool for academic planning. Led by N. Srimanth Reddy, MD. Gayas Khan, and U. Nityam Kethan, the project integrated Python programming, database management using SQLite, and GUI development with Tkinter. By allowing students to estimate GPA requirements for specific courses and offering customization options, the project empowered users to make informed decisions about their academic pursuits. The "Markstimator" project exemplified effective software design principles and highlighted the transformative potential of technology in education, showcasing the synergy between programming, database management, and GUI development for academic planning.