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@SiddharthMagesh

Siddharth Magesh

@SiddharthMagesh

Skill iconPython
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing

Chennai, India

Devfolio stats

Devfolio stats

2

projects

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hackathons

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GitHub

GitHub

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Top Projects

Top Projects

Project Image
MediNote-AI

MediNote-AI automates medical report generation from doctor-patient conversations using AI, reducing manual work, improving accuracy, supporting multilingual reports, and enhancing patient care.

MediNote-AI automates medical report generation from doctor-patient conversations, reducing manual data entry, minimizing errors, and improving patient care management. Solutions: Automated Reports: Converts conversations into structured medical reports. Error Reduction: AI transcription ensures accurate medical records. Historical Analysis: Reviews past patient data for better insights. Multilingual Support: Generates reports in multiple languages. Enhanced Care: Allows doctors to focus more on patient care. Data Security: Ensures local processing for secure data handling.

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Sentimatrix Studio

Sentimatrix: Unlocking Insights from Text, Audio, and Images Transform unstructured data into actionable sentiment insights with Sentimatrix, the all-in-one toolkit for deep analysis and visualization

Sentimatrix: Comprehensive Sentiment Analysis and Web Scraping Toolkit Sentimatrix is a powerful toolkit designed to extract, analyze, and visualize sentiments from diverse data sources such as text, audio, and images. In today’s digital world, consumers express their opinions across various platforms, making it challenging for businesses to capture and understand this feedback. Sentimatrix addresses this challenge by providing a unified solution that integrates local sentiment models and API-based tools for in-depth analysis. With features like Quick Sentiment Analysis, users can rapidly assess sentiments from short text, audio files, and images. The toolkit also offers Feedback Sentiment Analysis from e-commerce websites, extracting customer reviews to gauge product performance. Multilingual sentiment analysis ensures that global data can be interpreted with ease, while visualization tools such as bar charts, box plots, and pie charts offer intuitive ways to present insights. Sentimatrix also includes local scraper configuration, allowing businesses to extract reviews from targeted websites, save the data to CSV files, and compare sentiments between products. With options to summarize reviews, perform emotion analysis, and generate product suggestions, Sentimatrix transforms unstructured data into actionable insights, helping organizations understand consumer behavior and make informed decisions.