Developed a Python application that extracts text from PDF and DOC/DOCX files and answers user queries using semantic search and embeddings. Implemented text chunking and embedding-based retrieval, built an interactive Streamlit interface, and highlighted relevant document sections.
NAYANA YL
Artificial Intelligence & Machine Learning Undergraduate
Shidlaghatta, KarnatakaArtificial Intelligence, Machine Learning, Software Development, and Data Analytics
1roles
24skills
3education
4credentials
About
Motivated and detail-oriented Artificial Intelligence & Machine Learning undergraduate with hands-on experience in Android application development, machine learning, software engineering, and data analytics. Passionate about solving real-world problems through AI-driven and mobile-based solutions.
Experience
Android Development Intern
MindMatrix
January - May 2026
Developed the Grama-Suvidha Portal Android application for rural governance and infrastructure monitoring; worked with Kotlin, Android Studio, JSON, LiveData, Flow, XML, and Jetpack Compose; implemented multilingual support, offline caching, project filtering, and citizen feedback modules; performed testing, debugging, and modular implementation; gained experience in Android architecture, UI/UX design, and software development practices.
Education
SJC Institute of Technology
Bachelor of Engineering (B.E.), Artificial Intelligence & Machine Learning
2022 - 2026
CGPA: 8.70
Kapilamma Composite PU College
Pre-University Course (PUC), PCMB
2022
Score: 94.84%
Navodaya High School
Secondary School Leaving Certificate (SSLC)
2020
Score: 92.32%
Skills
PythonKotlinJavaSQLPHPScikit-learnPandasTableauPower BIGoogle AnalyticsFlaskHTMLCSSMySQLMongoDBPostgreSQLAndroid StudioJetpack ComposeXMLLiveDataFlowGitGitHub ActionsCI/CD Pipelines
Projects
Developed a machine learning-based house price prediction system using regression algorithms. Performed data preprocessing, feature selection, and model training with Scikit-learn and Pandas, and built an interactive Streamlit application with trained pickle models for real-time prediction.
Developed an Android application for transparency and accountability in rural infrastructure projects. Implemented real-time project tracking, progress visualization, multilingual support in English and Kannada, citizen feedback, offline caching, JSON-based data handling, modular architecture, testing, and debugging.
Volunteering
Volunteer; guided government school students on academic planning and career awareness
AICTE School Outreach Program
Volunteer; participated in community welfare initiatives and awareness campaigns
NSS