Automated detection of radio stars using ML classification on MeerKAT survey data, processing radio images to identify stellar sources with high reliability.
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Cross-matching radio and X-ray catalogs to identify stellar associations and characterize multiwavelength emission from coronal activity.
Fine-tuned OpenAI's Whisper model on medical dictation data for accurate transcription of clinical terminology and radiology reports.
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End-to-end ML pipeline predicting disease outbreak risk from weather patterns using time-series models and geospatial data.
AI-powered voice assistant for automated customer support using ASR, NLU, and TTS, deployed as a scalable call-handling pipeline.
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End-to-end ETL pipeline orchestrated with Apache Airflow and processed with Apache Spark for scalable data transformation and analytics.
Full analytics pipeline for Iowa liquor sales data including ETL, exploratory analysis, dashboards, and sales forecasting.
Multi-agent retrieval-augmented generation system coordinating specialized agents for complex document-based question answering.
Curated and processed audio datasets for Nigerian English accent, supporting ASR model fine-tuning for improved speech recognition accuracy.
Deep learning model for brain tumor classification from MRI scans using convolutional neural networks and transfer learning.