GONE SWETHA

AI/ML Student | Machine Learning Engineer | Full-Stack Developer

Hyderabad, IN.

About

Motivated B.Tech Computer Science (AI & ML) student with robust hands-on experience in Python programming, machine learning, and full-stack web development. Proven ability to develop impactful AI solutions, including a Heart Disease Predictor with 88.52% accuracy and an Intelligent Video Anomaly Detection system. Eager to contribute expertise in data preprocessing, model evaluation, and visualization to innovative, tech-driven teams developing real-world AI/ML applications.

Work

Academic Project

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Full-Stack AI Developer

Hyderabad, Telangana, India

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Summary

Built a full-stack web application for real-time video anomaly detection, leveraging advanced computer vision to identify anomalies and generate critical incident reports.

Highlights

Developed a full-stack web application using Node.js, TypeScript, and Vite for real-time video anomaly detection, identifying low-light, occlusion, and object appearance anomalies.

Implemented advanced computer vision techniques with OpenCV and YOLOv8 for robust object detection and CLAHE for enhanced frame processing.

Generated structured Excel reports with precise timestamps, object types, and severity scores, providing critical insights for incident analysis and response.

Academic Project

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AI System Developer

Hyderabad, Telangana, India

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Summary

Designed and implemented an AI system for efficient food waste management, predicting surplus food and automating donations while tracking CO2 savings.

Highlights

Developed an AI-powered system using Python, TensorFlow, and MongoDB to predict surplus food, enabling automated donations and tracking CO2 savings.

Created an interactive Streamlit dashboard, integrating expiry alerts and providing actionable insights for efficient food waste management.

Academic Project

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Machine Learning Developer

Hyderabad, Telangana, India

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Summary

Developed an AI-driven model to predict heart disease risk, achieving 88.52% accuracy and enhancing diagnostic support through rigorous model evaluation.

Highlights

Engineered a Machine Learning model using Python and Scikit-learn to predict heart disease risk, achieving 88.52% accuracy.

Executed comprehensive data preprocessing and rigorous model evaluation, utilizing metrics like F1-score and ROC-AUC to validate performance.

Education

KG Reddy College of Engineering

Hyderabad, Telangana, India
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B.Tech Computer Science and Engineering (AI & ML) Grade: 8.3 CGPA

Languages

English

Fluent

Telugu

Proficient

Hindi

Fluent

Certificates

SAWIT.AI Learnathon Program (Fundamentals of Generative AI)

GUVI

Programming for Everybody (Getting Started with Python)

Coursera

Microsoft Office Essential Skills

Udemy

Skills

Programming Languages

Python, Node.js, TypeScript, HTML, CSS, Java.

Machine Learning

Scikit-learn, TensorFlow, Logistic Regression, KNN, Random Forest, SVM, Naive Bayes, XG Boost, Data Preprocessing, Model Evaluation (F1-score, ROC-AUC).

Web Development

Flask, Streamlit, Vite, TailwindCSS, REST API Integration, Full-Stack Development.

Data Science & Analytics

Pandas, NumPy, Matplotlib, Seaborn, Excel Automation, XlsxWriter.

Computer Vision

OpenCV, YOLOv8, CLAHE Enhancement, Video Processing, Image Processing.

Databases

MongoDB.

Version Control

Git.