Raghava Shastry

Electronics and Telecommunication Engineering student with practical experience in embedded systems, IoT, and electronic circuit design. Passionate about developing real-world hardware-software solutions and continuously learning emerging technologies such as Edge AI and UAV.

• Problem Solving & Debugging
• Team Collaboration
• Technical Communication
• Time Management

Five-Day FDP: Unified Framework For Drone Navigation Using GIS And AI/ML Over 6G Infrastructure

• ESP32-based Facial Recognition Security Camera (May 2025 - Oct 2025) : Built a smart surveillance system using ESP32-CAM for real-time facial recognition, wireless image transmission, and remote monitoring.
• Weather Monitoring System (Jan 2025 - Mar 2025) : Designed an Arduino-based environmental station using DHT22, BMP280, and UV sensors for real-time weather data visualization and analytics.
• AgriVision: Drone-Based Crop Health & Resource Mapping System (May 2025 - March 2026) : Developed a UAV-based precision agriculture system to monitor crop health, detect stress regions, and map water resources using aerial imaging and image processing techniques. Implemented geospatial analysis for yield estimation and crop classification, enabling data-driven irrigation and farming decisions.
• Satellite-Based Land Cover Classification using Python & Machine Learning (Jan 2026- April 2025) : This project demonstrates land cover classification using a Sentinel-2 satellite image and a machine learning algorithm. The satellite image was processed using Python libraries such as OpenCV, NumPy, Matplotlib, and Scikit-learn. A K-Means clustering algorithm was applied to group similar pixels and classify the land into vegetation, barren land, water bodies, and settlements.