Palguni Aashritha S

Enthusiastic Master's student in Computer Science with a passion for artificial intelligence and software development. Skilled in Python, Java, and PHP, with practical experience in building machine learning models and data-driven applications. Completed successful projects including an AI chatbots and a predictive healthcare analytics tool. Known for strong teamwork and adaptability in fast-paced environments. Seeking to contribute innovative thinking and technical expertise to a dynamic AI development team, driving impactful projects that leverage technology for real-world applications.

• Book-kart, International Journal of Advance Research, Ideas and Innovations in Technology (IJARIIT), 11/2021 - 12/2021, http://www.ijariit.com/manuscript/book-kart/
• Education for Everyone, International Journal of Research in Engineering, Science and Management (IJRESM), 12/2021, Volume 4, Issue 12, https://journals.resaim.com/ijresm/article/view/1594/1536

CIL (Compact Information and Location)
Description: Developed a system to retrieve student details and location using a QR code on ID cards, enhancing marketing and information accessibility.
Technologies: HTML, PHP, QR Code
Contributions:

• Designed the database schema to store student information.
• Implemented QR code generation and scanning functionalities.

Bar Code and QR Code Reader Using Python
Description: Developed an application to scan and decode barcodes and QR codes, facilitating quick data retrieval for users.
Technologies: Python, OpenCV, Pyzbar
Contributions:

• Implemented image processing techniques for accurate code detection and decoding.
• Designed a user-friendly interface for seamless scanning.

Operating System in Cloud Computing
Description: Explored the architecture and requirements of operating systems in cloud computing, focusing on Cloud OS for managing distributed resources. Analyzed cloud deployment models and highlighted Linux as the preferred OS due to its adaptability and efficiency.
Technologies: Research-based
Contributions:

• Defined cloud computing advantages, including scalability and cost efficiency.
• Discussed service layers (SaaS, PaaS, IaaS) and deployment models (Private, Public, Hybrid).
• Identified key attributes for Cloud OS and presented optimization strategies for cloud services.

Snake and Ball Game
Description: Designed a multi-level game using C, focusing on game mechanics and user engagement.
Technologies: C
Contributions:

• Created game levels and mechanics, enhancing user interaction and experience.

Book-Kart
Description: Created a library management application that allows students to check book availability and pre-register for borrowing, streamlining the library experience.
Technologies: Android Studio, HTML, PHP, MySQL
Contributions:

• Developed a user-friendly interface for mobile and web platforms.
• Integrated a backend system to manage book inventories and fines.

AI-Based Chatbot
Description: Designed and developed an AI-driven chatbot using Python to provide automated responses and support for users.
Technologies: Python
Contributions:

• Integrated natural language processing (NLP) to improve user interactions.

Weather Classification Using Machine Learning
Description: Developed a machine learning model to classify weather patterns based on historical data.
Technologies: Python, Scikit-Learn
Contributions:

• Applied various ML algorithms (e.g., Decision Trees, SVM) for model training and evaluation.

Cartoonify Image Using Machine Learning
Description: Developed a machine learning application to convert images into cartoon-style representations, utilizing image processing techniques.
Technologies: Python, OpenCV
Contributions:

• Designed and implemented algorithms for image transformation and enhancement.

Architecture of the Graphics System for Embedded Real-Time Operating Systems
Description: Developed a graphics system architecture for the Baget microkernel OS, optimizing memory allocation and message transmission.
Technologies: Research-based

Predictive Analytics on Haberman's Survival Dataset
Description: Analyzed medical data to predict long-term survival rates for breast cancer patients, contributing to healthcare insights.
Technologies: Python, Pandas, Scikit-Learn
Contributions:

• Conducted exploratory data analysis and preprocessing to enhance model accuracy.
• Implemented multiple ML algorithms, including Random Forest and Gaussian Naive Bayes.

Ethereum Fraud Detection
Description: Developed a system to identify and mitigate fraudulent activities on the Ethereum blockchain through data analysis and machine learning.
Technologies: Python, Pandas
Contributions:

• Conducted extensive data cleaning and exploratory analysis to uncover fraud patterns.
• Collaborated with stakeholders to enhance user security measures.

Quantum Computing Project
Description: Explored the principles of quantum computing and developed algorithms for various applications, including cryptography and optimization.
Technologies: Qiskit, Python
Contributions:

• Designed and implemented quantum algorithms, enhancing understanding of quantum mechanics.