Srihari Sakshith Kotichintala

About Me

I'm Srihari Sakshith Kotichintala, a passionate CSE-AIML student with a strong interest in coding, artificial intelligence, and problem-solving. With hands-on experience in projects like developing an Amazon clone, building machine learning models for stock prediction, and creating an expense calculator using AVL trees, I’m committed to applying my skills in Python, C, Java, and web technologies like HTML, CSS, and JavaScript. My academic journey, marked by a CGPA of 9.37 and top NPTEL certifications, has driven me to excel in areas such as machine learning, data structures, and full-stack development. Having participated in numerous hackathons, I’ve honed my teamwork, adaptability, and creativity, always eager to tackle complex challenges. I’m driven by the potential of technology to solve real-world problems and look forward to contributing to impactful AI and machine learning solutions.

Projects

Health Diagnosis Prediction

Technologies: HTML, CSS, JavaScript, Git

GitHub: Link to Repository

Project Summary

Designed and implemented a command-line application for predicting heart disease and diabetes using machine learning algorithms. The application processes user-inputted health metrics and employs techniques such as data preprocessing and model evaluation, leveraging algorithms like Logistic Regression and Random Forest to deliver accurate predictions. This project demonstrates my expertise in data analysis, machine learning, and software development.

Amazon Clone Project

Technologies: Python, Machine Learning, Git, Pandas, NumPy

GitHub: Link to Repository

Project Summary

Developed a fully responsive Amazon clone using HTML, CSS, and JavaScript, replicating key functionalities of the e-commerce platform. The project features a user-friendly interface with a dynamic navbar, product sections, and a footer that mirrors Amazon's layout, showcasing skills in front-end development and design. Employed Git for version control to manage project updates efficiently.