Bhavya Bhagerathi
bhavyabhagerathi
Tech wanderer, exploring the data forests with the curiosity of a woodland creature. Fresh coder, weaving branches of AI and ML into a digital canopy. 🌳💻
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Automates the tedious task of extracting crucial information from invoices with the Invoice Data Extraction Bot.
The tool streamlines the process of summarizing customer service calls to enhance user experience.
[ Phonepe Pulse Data Visualization dependence on given specifications. ] | ( Disclaimer: Transaction and user analysis of Phonepe app in INDIA 2018 - 2022 only ) | Clone | Python | Pandas | Numpy | MySQL | Streamlit | Plotly | Geo visualization |
This is a collection of final projects done as a part of GUVI Data Science Course. It consists of three projects working on the CarDekho, Zomato, and Red Wine datasets.
This project achieves a robust solution where users can engage with a knowledgeable chatbot and efficiently route their concerns to the appropriate department.
Analysis on Airbnb data using Python, Plotly and Created interactive dashboard using Tableau_Public
Repositories
29Automates the tedious task of extracting crucial information from invoices with the Invoice Data Extraction Bot.
The tool streamlines the process of summarizing customer service calls to enhance user experience.
[ Phonepe Pulse Data Visualization dependence on given specifications. ] | ( Disclaimer: Transaction and user analysis of Phonepe app in INDIA 2018 - 2022 only ) | Clone | Python | Pandas | Numpy | MySQL | Streamlit | Plotly | Geo visualization |
This is a collection of final projects done as a part of GUVI Data Science Course. It consists of three projects working on the CarDekho, Zomato, and Red Wine datasets.
This project achieves a robust solution where users can engage with a knowledgeable chatbot and efficiently route their concerns to the appropriate department.
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Analysis on Airbnb data using Python, Plotly and Created interactive dashboard using Tableau_Public
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A user-friendly fitness trainer appointment scheduling app. Manage client details, edit appointments, and visualize your schedule effortlessly. Streamline your fitness training sessions with ease.
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This project implements an Extractive Question Answering (QA) system using Hugging Face Transformers.
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This time-series-analysis project was completed as a part of Machine Learning Internshop at 360DigitMG.
A set of 4 projects completed as a part of Python Development internship at CodeClause
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The collection of projects done as a part of Artificial Intelligence internship at CodeClause.
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[ Extract relevant information from business cards by using easyOCR library and stored into MySQL Database ] | Python | easyOCR | MySQL | Streamlit |
[ Extract information on a specific YouTube channel by using the youtube id, and analyse data depending on a set of questions to the user. ] | YouTube Id | Python | Pandas | Numpy | Mongodb | MySQL | Streamlit | Plotly |
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Config files for my GitHub profile.