Bhavani Kongari
Hi! I’m Bhavani Kongari, a passionate master’s student. I am interested in creating innovative solutions. This portfolio showcases some of my best work, skills, and projects that I’m proud of.
Hi! I’m Bhavani Kongari, a passionate master’s student. I am interested in creating innovative solutions. This portfolio showcases some of my best work, skills, and projects that I’m proud of.
Here’s a brief overview of my academic journey. Use the left and right buttons to navigate from my Master’s degree to schooling.
AUGUST 2024 – DECEMBER 2025 (Expected).
Currently pursuing final semester of M.S. in Applied Computer Science at
Northwest Missouri State University, Maryville, MO, USA.
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Major in Computer Science.
Secured GPA: 4.0/4.0
JUNE 2020 – MAY 2024.
Completed Bachelor of Technology in Computer Science at
Sreyas Institute of Engineering and Technology,
Hyderabad, India – JNTUH affiliated.
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Major in Computer Science.
Secured GPA: 8.49/10.0
Second Topper of the University – Awarded Silver Medal.
JUNE 2018 – MARCH 2020.
Sri Chaitanya Junior College, Hyderabad, India.
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Major in MATHS, PHYSICS, CHEMISTRY (MPC).
Board of Intermediate Education, Telangana (BIETS).
Secured Percentage: 95
Secured Score: 955/1000
SSC in March 2018.
Completed high school education from
Naagarjuna High School, Hyderabad, India.
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Board of Secondary Education, Telangana (BSE Telangana).
Secured Percentage: 92
Secured CGPA: 9.2/10.0
Here’s an overview of my professional certifications, highlighting the skills and knowledge I’ve gained. Use the left and right buttons to navigate to all my certificates. Hover on certificate cards to find more details.
These are the technical skills I’ve developed in computer science, highlighting my expertise and areas of focus.
This section showcases the projects I've worked on, highlighting my skills, creativity, and problem-solving abilities. scroll the cards to browse through projects, and hover over a project to view more details and GitHub links.
Role: Team Leader
Completed: November 2022
Technologies Used: Python, NLP, Flask, HTML, CSS, JavaScript, PyCharm
Domain: Machine Learning
This solution creates a personalized user experience by predicting emotions from user input. Responses are analyzed and classified into categories like joy, sadness, anger, fear, love, or surprise. Based on the detected emotion, users are dynamically redirected to content that suits their mood. For instance, joy may lead to games or jokes, sadness to comforting movies, anger to anonymous writing platforms, fear to soothing music, love to meaningful stories, and surprise to engaging articles. This application showcases how technology can understand emotions and provide relevant digital experiences, combining technical intelligence with a human touch.
Role: Team Leader
Completed: February 2023
Technologies Used: Python, Flask, OpenCV, PyAutoGUI, numpy, PyCharm
Domain: Deep Learning
This project is to develop a feature that enables touchless screen scrolling using color detection via a webcam. Implemented with Python, OpenCV, and PyAutoGUI, it detects a specified color and automatically scrolls the screen, allowing users to operate the monitor from a distance without a mouse or touchpad. The feature can be customized to detect any color of choice, offering flexibility and enhancing user convenience. It demonstrates contactless human-computer interaction and real-time responsiveness, improving accessibility and user experience.
Role: Team Leader
Completed: February 2024
Technologies Used: Hyperledger Fabric, SHA-512, Python, Node.js, JavaScript, Flask, HTML, CSS, Bootstrap 4, Ganache
Domain: Blockchain Technology
This project develops a secure and tamper-proof forensic evidence management system using Hyperledger Fabric blockchain. It digitalizes the chain of custody, ensuring that all evidence records are immutable and cannot be altered without leaving a trace. By leveraging blockchain's decentralized architecture and cryptographic methods, the system guarantees confidentiality, integrity, and authenticity of digital evidence. It effectively addresses challenges such as tampering, unauthorized access, and manipulation, providing a robust, reliable, and technologically advanced solution for modern forensic evidence management.
Role: Team Leader
Completed: April 2025
Technologies Used: iOS (UIKit), Swift, XCode, AVFoundation, UserNotifications, UIKit frameworks
Domain: Mobile Application Development
This project is an iOS application that enables users to assess pollution levels across Air, Water, Land, and Noise categories. Users enter relevant environmental data, and the app calculates pollution severity using scientific formulas, classifying it as Low, Moderate, High, or Extreme. The app provides real-time alert notifications to keep users informed about hazardous conditions. Along with the results, it displays contextual videos and guidance. For example, if pollution levels are high, it suggests a video guidance with precautions. The is designed to be user-friendly insights to promote environmental awareness and safety.
Role: Team Leader
Completed: December 2025 (Expected)
Technologies Used: React Native, TypeScript, Firebase, Expo, DialogFlow, TypeScript
Domain: Mobile Application Development both for Android and iOS
This project develops a cross-platform mobile application for Northwest Missouri State University students to manage wellness efficiently. Built with React Native, TypeScript, Firebase, Expo, and DialogFlow, the app enables secure login, appointment booking, health report tracking, notifications, staff messaging, and AI chatbot support. The system emphasizes security, performance, maintainability, and a user-friendly interface, providing a comprehensive, accessible solution for student wellness management. By integrating real-time notifications and AI assistance, the app ensures timely support and personalized experiences, streamlining day-to-day health management for students.
Role: Developer
Completed: May 2025
Technologies Used: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Jupyter Notebook
Domain: Machine Learning & Predictive Analytics
This project builds a ML model to predict the likelihood of heart disease in patients based on demographic, clinical, and lifestyle factors. Using publicly available datasets from Kaggle, the model analyzes features such as blood pressure, cholesterol, blood sugar, BMI, ECG readings, and family history to assess heart disease risk. The model outputs a binary classification; 0 for absence and 1 for presence of heart disease, along with a probability score indicating the confidence level. It helps identify high-risk patients and supports early diagnosis by combining multiple health and lifestyle indicators.
This section highlights my publications, papers I wrote and conference presentations, showcasing my contributions to research and knowledge sharing. Hover on item for more details.
Authors: Ajay Bandi, Bhavani Kongari, Roshini Naguru, Sahitya Pasnoor, Sri Vidya Vilipala
Publication Venue: Future Internet
Publication Type: Project-Review Article
Year: 2025
Authors: Joshi Padma, Kongari Bhavani, Inuganti Sri Charan, Kachara Meghana, Marri Varun Gopal Reddy
Publication Venue: International Journal of Emerging Computer Science & Engineering (INTJECSE)
Publication Type: Project-Based Research Article
Year: 2023
Click to see publication
Authors: Joshi Padma, Kongari Bhavani, Inuganti Sri Charan, Kachara Meghana, Marri Varun Gopal Reddy
Publication Venue: INTJECSE
Publication Type: Project-Based Research Article
Year: 2024
Author: Bhavani Kongari
Type: Research Article
Year: 2025
Presented by: Bhavani Kongari
Presentation Venue: Sreyam 2k23 (Technical Conference held by Sreyas Insti. of Engi. and Tech.)
Presentation Type: Technical Seminar Presentation
Year: 2023
Presented by: Bhavani Kongari, Roshini Naguru, Gayatri Netepalli
Supervisor: Dr. Aziz Fellah
Presentaion Venue: MINK-WIC Conference 2025
Presentaion Type: Poster Presentation
Year: 2025
This section highlights my professional experience so far,
showcasing the roles I’ve held and the responsibilities I’ve undertaken.
During my final semester of my Bachelors, I worked as a Software Intern where I:
Technologies: Python, SQL, GitHub, Jira, HTML, CSS
This internship gave me valuable hands-on experience in Python and SQL, while strengthening my overall technical and teamwork skills.
