Freelancers using labelimg

Freelancers using labelimgFreelancers using labelimg

Projects People

Making Sense of Data to Drive Decisions

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Making Sense of Data to Drive Decisions

Cover image for Context-Aware Fintech User Feedback Classification

Context-Aware Fintech User Feedback Classification & Urgency Detection Most feedback tools stop at sentiment; positive or negative. This project goes further by building a decision-driven NLP system that classifies fintech user feedback by issue type and detects operational urgency, enabling smarter triage and escalation. What was built: Two machine learning models trained on manually collected and annotated app store reviews from real fintech platforms like Revolut, Wise, and Monzo: Issue Classifier: categorizes feedback into 9 classes including transaction issues, account security, KYC, refunds, app performance, and fraud Urgency Detector: binary classifier that flags high-risk feedback requiring immediate attention, optimized for recall to minimize missed critical cases

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Cover image for DSP Asset Managers

DSP Asset Managers

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Cover image for Housing Dashboard

Housing Dashboard

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Cover image for Energy Dashboard

Energy Dashboard

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Prashant Chaudhary

Helping companies build AI with high-quality data

New to Contra

Helping companies build AI with high-quality data

Cover image for Annotated computer vision datasets used

Annotated computer vision datasets used for vehicle detection and Automatic Number Plate Recognition (ANPR) systems. The project involved labeling vehicles and number plates in traffic camera footage to help train AI models used in smart city infrastructure, traffic monitoring, and law enforcement systems. Key responsibilities included: • Vehicle detection using bounding box annotation • Number plate annotation for ANPR systems • Dataset preparation for computer vision models • Annotation quality validation and dataset review These datasets support AI models used in traffic monitoring systems, automated toll collection, smart parking systems, and urban mobility analytics.

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Cover image for Worked on Automatic Speech Recognition

Worked on Automatic Speech Recognition (ASR) dataset annotation used for training speech-to-text AI models. The project involved labeling and segmenting audio recordings, identifying speakers, and preparing structured datasets for machine learning systems. Key responsibilities included: • Audio segmentation and timestamp labeling • Speaker identification and classification • Speech-to-text dataset preparation • Annotation quality validation and review This dataset helps train AI systems used in voice assistants, speech recognition software, and conversational AI applications.

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Cover image for Annotated CT scan medical imaging

Annotated CT scan medical imaging datasets used to train AI models for healthcare diagnostics and medical image analysis. The project involved identifying and labeling anatomical regions within CT scan images using bounding boxes and segmentation techniques to support machine learning model training. Key tasks included: • Medical image annotation and region labeling • Bounding box annotation for anatomical structures • Dataset preparation for AI model training • Quality control and annotation validation This work supports the development of AI systems used in healthcare diagnostics, medical imaging analysis, and clinical decision support systems.

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Cover image for Annotated complex dental X-ray medical

Annotated complex dental X-ray medical imaging datasets used to train AI models for healthcare applications. The project involved precise labeling of anatomical structures including teeth boundaries, roots, and surrounding regions using polygon and keypoint annotation techniques. The objective was to generate high-quality training datasets that allow machine learning systems to accurately detect dental structures and support medical imaging analysis. Responsibilities included: • Image segmentation and polygon annotation • Keypoint labeling for anatomical structures • Dataset preparation for machine learning models • Annotation quality control and validation This work contributes to the development of AI systems used in medical diagnostics and healthcare imaging analysis.

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George Macharia

Data Annotator/Labeler for ML & AI

New to Contra

Data Annotator/Labeler for ML & AI

Cover image for Text annotation

Text annotation

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Cover image for Microsoft Power BI Dashboard

Microsoft Power BI Dashboard

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Cover image for Data entry/extraction using OCR tool

Data entry/extraction using OCR tool

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Cover image for Soccer Player Tracking and Annotation

Soccer Player Tracking and Annotation

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