Chinthapatla Pranay Varna

Chinthapatla Pranay Varna is an undergraduate B.Tech student pursuing Computer Science and Engineering, with a strong focus on Artificial Intelligence and Machine Learning. He has authored multiple book chapters on AI, IoT, and geospatial data analysis. Pranay has worked on innovative projects, including wheat disease detection using hybrid models, sign language detection, and action recognition using video classification techniques. He has also made significant contributions to the Balloon Satellite Project, earning top recognition among his peers. His expertise spans deep learning, predictive analysis, and AI/ML-based systems, showcasing his passion for technology and innovation.

Publications

Predictive Modeling in Finance: Harnessing Machine Learning Algorithms for Enhanced Decision Making
Chinthapatla Pranay Varna, Mannipudi Prabhu Das, Gurram Sunitha, A. V. Sriharsha, Mohammad Gouse Galety. © 2025. 18 pages.
Predicting financial stability is crucial for assessing risk and making informed decisions in the financial sector. Accurate predictions can help prevent financial crises and...
Issues, Opportunities, and Limitations on the Convergence of Cybersecurity and Cloud Computing
Karthik Kovuri, K. Reddy Madhavi, J. Avanija, Viswaksena Balaji, Harshavelu Irrigisetty, Chinthapatla Pranay Varna. © 2025. 16 pages.
This book chapter looks at the convergence of cybersecurity and cloud computing, emphasizing the importance of securing data and systems in the cloud. It discusses the shared...
Python for Geospatial Data Analysis
Gurram Sunitha, K. G. Suma, Mohammad Gouse Galety, Ganesh Davanam, Chinthapatla Pranay Varna. © 2024. 26 pages.
This chapter serves as a valuable resource for computer science enthusiasts, researchers, and practitioners seeking an understanding of geospatial analysis with Python. The...
Geospatial Data Visualization With Folium
K. G. Suma, Gurram Sunitha, J. Avanija, Mohammad Gouse Galety, Chinthapatla Pranay Varna. © 2024. 22 pages.
Geospatial data visualization is a powerful tool for understanding and analyzing spatial patterns and relationships. This chapter dives into the world of geospatial data...