A cloud-based tool for sentiment analysis in reviews about restaurants on TripAdvisor
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Updated
Oct 10, 2021 - Python
A cloud-based tool for sentiment analysis in reviews about restaurants on TripAdvisor
Successfully established a machine learning model which can accurately predict the expected life duration of a human being based on several demographic features such as alcohol consumption per capita, average BMI of entire population, etc.
Spell Corrector functionality for medical domain in Scala which consists modules to build a medical word corpus and correct misspelled words.
Analyzed a multicategory e-commerce store using big data techniques on a Kaggle dataset with the help of AWS EC2, AWS S3, PySpark, AWS Glue ETL, AWS Athena, AWS CloudFormation, AWS Lambda and Power BI!
End-to-end PSF extraction for 3D microscopy
[AAAI 2022] Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics.
A Fully Automatic Method for Predicting Contact Maps of RNAs by Evolutionary Coupling Analysis
This project is a NLP problem that will be the foundation of an English program used by the company Easy Sailing Language Training.
Deep Negative Volume Segmentation - automated 3D CT segmentation of body joints for dentistry
Developed an end-to-end ML system on Azure to predict loan defaults, leveraging advanced data preprocessing, feature engineering, and machine learning models to optimize accuracy. This project includes a comprehensive suite of tools and techniques for robust financial risk assessment, deployed to enhance decision-making for high-risk exposures.
Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)
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