Amogh

Key Skills

Software

OpenCV AI Kit (OAK)

Other

Top Subject Matter

Smart parking / computer vision

Healthcare / telemedicine (rule-based analysis)

Top Data Types

Video

Text

Image

Top Task Types

Object Detection

Diagnosis

Bounding Box

Classification

Freelancer Overview

AI project: Smart Parking System (Python, YOLO, OpenCV, NumPy).. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV AI Kit (OAK) and Other. Education includes Bachelor of Science, Vishwakarma Institute of Technology (2029) and Higher Secondary Education, Arihant College of Science, Arts and Commerce (2025). AI-training focus includes data types such as Video, Text, and Image and labeling workflows including Object Detection, Diagnosis, and Bounding Box.

Labeling Experience

AI Training Program Support (Non-Labeling) - Freelance

ImageBounding BoxClassification

Assisted with AI training programs by preparing learning materials and supporting training workflows. Focused on enabling participants to complete program activities effectively using structured guidance. Applied general technical knowledge to help learners progress through hands-on tasks. • Supported organization of AI training program content and sessions • Helped participants understand concepts and complete learning activities • Followed program structure to keep training consistent • Provided troubleshooting support during practice

2023 - Present

AI project: Telemedicine System (MediReach) (JavaScript, IndexedDB, Node.js, rule-based analysis).

OtherTextDiagnosis

Developed an offline telemedicine prototype that takes user-entered symptoms as input and returns preliminary health insights. Implemented symptom-based analysis logic to generate possible diagnoses and basic medical guidance. Added local storage/database support to keep the workflow functional in low-connectivity environments. • Symptom intake via a user interface. • Rule-based symptom-to-diagnosis guidance generation. • Local persistence for user inputs and results. • Offline-first design for constrained connectivity.

2025 - 2025

AI project: Smart Parking System (Python, YOLO, OpenCV, NumPy).

OpenCV AI Kit (OAK)VideoObject Detection

Built a YOLO-based object detection pipeline to identify vehicles in video/image inputs and determine parking slot occupancy. Used bounding boxes from detections to classify parking spaces as occupied or vacant based on slot-mapping logic. Applied OpenCV to enable real-time automated monitoring without physical sensors. • Vehicle detection using YOLO on video/image frames. • Bounding-box-based slot mapping and occupancy classification. • Real-time processing pipeline implementation with OpenCV. • Integration-ready architecture for smart parking/CCTV feeds.

2024 - 2024

Education

Work History