Masabattula H.

Key Skills

Software

OpenCV AI Kit (OAK)

Other

Top Subject Matter

IoT-based real-time object detection and monitoring for water surface cleaning

IoT sensor data collection and real-time visualization for semiconductor analysis

Top Data Types

Computer Code Programming

Top Task Types

Object Detection

Freelancer Overview

Automated Water Surface Cleaner using Real-Time Object Detection and IoT Monitoring. Core strengths include OpenCV AI Kit (OAK) and Other. Education includes Bachelor of Technology, MVGR College of Engineering (2025) and Intermediate Program, Sri Chaitanya Junior College (2021). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Object Detection, Computer Programming, and Coding.

Labeling Experience

IoT-Based Temperature Variation Analysis of P-N Diode and Energy Band Gap Determination

Other

Developed a wireless IoT data acquisition and visualization system to analyze temperature variation effects on a semiconductor diode. Implemented NodeMCU ESP8266 communication using HTTP and created real-time web visualization of sensor readings. Although not explicitly labeled as data annotation work, the project required structured data collection and processing for subsequent analysis. • Designed an end-to-end sensor-to-web pipeline • Implemented wireless communication and real-time visualization • Collected temperature-resistance/behavior data for analysis • Processed time-series data for energy band gap characterization

2023 - 2025

Automated Water Surface Cleaner using Real-Time Object Detection and IoT Monitoring

OpenCV AI Kit (OAK)Object Detection

Built an IoT monitoring system that used real-time object detection to identify floating waste. Implemented OpenCV-based computer vision pipelines and TensorFlow Lite inference to support continuous detection during autonomous water cleaning. Connected detection outputs with IoT telemetry and wireless control for environmental cleaning monitoring. • Worked with AI-enabled object detection logic in an embedded/edge context • Integrated model inference with sensor/IoT data flows • Developed real-time processing components using OpenCV • Validated detection performance for practical monitoring use

2023 - 2025

Education

Work History