Hello, It's Me
BOPPELLA CHIHNITA REDDY
I'm an engineering student with a
strong passion for
I'm Boppella Chihnita Reddy, a Computer Science and Engineering student with a passion for solving problems through technology.
Proficient in Java, Python, C, and web development, I've built projects like disease prediction applications and AI-based tools, combining technical knowledge with hands-on experience.
I bring a collaborative approach to my work, focusing on efficient, impactful solutions that meet industry standards..
Accademics & Experience
Python
C Language
HTML
CSS
JavaScript
ReactJS
NodeJS
Java
MySQL
MongoDB
Linux
Wordpress
Git
GitHub
VS Code
Powerpoint
Canva
The Wireless Sound Control project leverages computer vision to enable hands-free, gesture-based audio control on a computer. This innovative solution provides an intuitive and efficient way to control sound, making it ideal for accessibility applications, smart home environments, and touchless user interfaces.
Python, OpenCV
This project is an Image to Text Converter developed in Python that extracts text from images, showcasing expertise in Optical Character Recognition (OCR) and image processing. Designed to efficiently digitize text, it has applications in document scanning, data entry automation, and archiving physical records.
Python, OCR
Cardio-Vision is a web-based heart disease prediction system that leverages machine learning to assess individual risk factors. Developed using Python, Flask, and a custom machine learning model, this project aims to provide an accessible tool for preliminary heart health evaluation, helping individuals and healthcare providers make informed decisions.
Python, Flask, Machine Learning
This Heart Disease Prediction model is a machine learning project developed in Python to predict the likelihood of heart disease based on clinical data. Designed to aid healthcare professionals and individuals in preliminary risk assessment, the model utilizes a range of patient health metrics, including age, cholesterol levels, blood pressure, and lifestyle factors.
Python, OpenCV
Disease Prediction using Symptoms is an intelligent disease prediction tool that utilizes symptom inputs to predict potential medical conditions. Built with Python and machine learning, this project aims to provide a preliminary health assessment by analyzing user-reported symptoms and mapping them to likely diseases, making it valuable for initial healthcare screening and awareness.
Python, Flask, HTML, CSS
Chihnita | Innovating Through Technology 2023