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  • šŸ‘‹ Hi, Iā€™m @AlinaBaber
  • šŸ‘€ Iā€™m interested Artificial Intelligence, Blockchain, IoT, AI based controllers, Robotics, Bioinformative , Generative AI , LLMs, AI Agents
  • šŸŒ± Iā€™m an AI and Robotics Scientist and Entrepeneuer
  • šŸ‘Øā€šŸ’» Programming Language Expertise: Python, R, MatLab, C, C++, C# ,Java, php, node.js, Flutter,JAVA Script, HTML5, CSS3, PHP
  • šŸ‘Øā€šŸ’» Web Platforms Expertise: Flask, Django, React, ASP.NET, WPF, WFP, MVC, Shiny R
  • šŸ‘Øā€šŸ’» Mobile Platforms Expertise: Android
  • šŸ‘Øā€šŸ’» Database plaforms Expertise: MySQL, MSSQL, ORACLE, SQLlit, Json, Oracle Apex,MongoDB, Firebase
  • šŸ‘Øā€šŸ’» Data Analytics Expertise: RapidMiner, tableau, MS Excel, Oracle Apex
  • šŸ‘Øā€šŸ’» Server Expertise: Xampp, Asp.net,AWS Cloud Computing Docker, Kubernetes
  • šŸ‘Øā€šŸ’» Software Expertise: PyCharm, PLS, IBM SPSS, Dreamweaver, Photoshop, CISCO, Visual Studio, MICROS RES POS, MS office, Flash, Aftereffects, Premiere, Draw.io, Canvas
  • šŸ‘Øā€šŸ’» Networking Expertise: Wireshark, Zenmap
  • šŸ’žļø Iā€™m looking to collaborate on Research and Commercial Projects
  • šŸ“« How to reach me: https://www.linkedin.com/in/alina-baber-92198481/
  • šŸ“« See My Portfolio:
  • šŸ‘€ Checkout My Youtube Channel: https://www.youtube.com/@alinababer4129
  • šŸ“« See My Facebook Profile: https://web.facebook.com/Alina.Baber
  • See My instagram Profile: https://www.instagram.com/alinababerofficial

Alina Baber's Projects

covid19-timeseries-cases-and-deaths-forecasting- icon covid19-timeseries-cases-and-deaths-forecasting-

This study is based on confirmed cases and deaths collected from Pakistan. Results demonstrate the promising potential of TIME SERIES model in forecasting COVID-19 cases and highlight the superior performance of the time series compared to the LSTM.we apply AI-based forecasting models such time series ARIMA, LSTM, prophet and VAR.

customer-reviews-analysis-with-machine-learning-deep-learning---stv-voting-method icon customer-reviews-analysis-with-machine-learning-deep-learning---stv-voting-method

In this project, the user writes a review of a cosmetics product, and Sentiment Analysis detects positive or negative sentiment in the text, which is frequently used to improve the business's reputation among their customers. We developed Robust STV Modelling algorithm to improve the products reviews sentiment analysis with Natural Language Process

formulaai_hackthon2022 icon formulaai_hackthon2022

Hackmakers #FormulaAI Hack 2022: The #FormulaAI Hack 2022 celebrated the awesome racing culture built by Red Bull Racing, and was centered on the application of best practices in Data Science, UX and 3D Modeling.

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