My Skills
Hello! I'm SAITEJA, a final year Computer Science Engineering student with a keen interest in Python development. Throughout my studies, I have developed a strong foundation in programming, and I am particularly drawn to machine learning and full stack development. As I approach the end of my academic journey, I am focused on expanding my knowledge and preparing for a successful career in the software development industry. I’m eager to apply my skills in real-world projects and continue growing as a developer.
Heart disease is a major health concern, and early detection can save lives. This system uses machine learning to assess risk based on factors like age, cholesterol, and blood pressure. Algorithms such as Logistic Regression and Random Forest provide accurate predictions to help doctors identify high-risk patients.
I developed a dynamic and responsive website for Gouthami Explosives using HTML, CSS, JavaScript, Node.js, and MySQL. The site features categorized product listings and a contact form that captures customer inquiries and stores them in a MySQL database. Backend services built with Node.js ensure smooth handling of user interactions and data flow. The website is deployed on AWS EC2 with domain integration through GoDaddy, providing secure and reliable access.
Status: On-going
This project leverages Python, IPFS (InterPlanetary File System), and Machine Learning to classify and store files in a decentralized manner. It aims to improve file access, scalability, and data categorization in a distributed environment by integrating intelligent content recognition techniques.