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Hariprashad RavikumarHariprashad Ravikumar
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GitHub_Portfolio.html

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@@ -197,7 +197,7 @@ <h2>Projects</h2>
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<strong>AI-DataScience-Lab: Web-Based Forecasting App</strong>
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(<a href="https://github.com/Hariprashad-Ravikumar/AI-DataScience-Lab" target="_blank" rel="noopener noreferrer">GitHub Repository</a>)
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Built a full-stack forecasting tool to explore the complete data science pipeline, from preprocessing to model deployment. The app supports csv uploads, visualizes trends using <code>matplotlib</code>, fits a <code>scikit-learn</code> regression model, and summarizes the dataset using OpenAI’s GPT-3.5 API. The backend (Flask) is hosted on Microsoft Azure App Service, while the frontend is deployed via GitHub Pages. <strong>Version 1.0.0 (Beta)</strong> currently supports linear regression, with future plans to add polynomial, ridge, and time series models for enhanced forecasting. You can access the frontend of the app at: <a href="https://hariprashadravikumar.github.io/AI-DataScience-Lab/" target="_blank" rel="noopener noreferrer">AI DataScience Lab</a>.
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Built a full-stack forecasting tool to explore the complete data science pipeline, from preprocessing to model deployment. The app supports csv uploads, visualizes trends using <code>matplotlib</code>, fits a <code>scikit-learn</code> regression model, and summarizes the dataset using OpenAI’s GPT-3.5 API. The backend (Flask) is hosted on Microsoft Azure App Service, while the frontend is deployed via GitHub Pages. <strong>Version 1.0.0 (Beta)</strong> currently supports linear regression, with future plans to add polynomial, ridge, and time series models for enhanced forecasting. You can access the frontend of the app at: <a href="https://hariprashad-ravikumar.github.io/AI-DataScience-Lab/" target="_blank" rel="noopener noreferrer">AI DataScience Lab</a>.
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