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Jigisha-p/README.md

Hi My name is Jigisha P.

Data Driven AI Professional

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👋 I'm a passionate AI Engineer and AWS Certified ML Specialist, adept at crafting data-driven solutions. Driven by a strong interest in generative AI,I leverage my expertise to explore its potential for creating innovative solutions and applications. I actively participate in ongoing research and development projects, contributing to the advancement of this transformative technology. My objective is to unlock the capabilities of generative AI to address real-world challenges and contribute to shaping the future of this dynamic field.

👣 My Digital Footprint :

 Technical Blogs ✍️


Ready to contribute AI expertise to innovative projects and drive advancements in the field. Open to collaboration and excited about the possibilities at the intersection of technology and artificial intelligence.
🌍 Let's shape AI's future!

#DataScience #MachineLearning #DeepLearning #ArtificialIntelligence #GenerativeAI #LLM #RAG #FineTuning #Innovation

Python Git Flask Docker Amazon Web Services Google Cloud

Popular repositories

  1. Topic-Analysis-of-Review-Data Topic-Analysis-of-Review-Data Public

    This project helps a mobile brand understand customer sentiment and key discussion topics by analyzing Amazon reviews. Using Machine learning, it predicts review ratings and uncovers emerging topic…

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  2. Detection-of-Lung-Infection Detection-of-Lung-Infection Public

    The objective of this project is to develop a model utilizing a convolutional neural network (CNN) for the classification of lung infections in individuals based on medical imagery.

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  3. Question-Answering-with-Embedded-Context Question-Answering-with-Embedded-Context Public

    In this project text embedding is used to convert a set of text information about start-ups into vectors. Then these vectors are used to add context to a query, assisting the completion model in an…

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  4. EDA_NYC_311Service_ EDA_NYC_311Service_ Public

    This project involves data analysis of NYC's 311 service requests to identify data patterns and visualize common complaint types. The analysis aims to inform improved service delivery and resource …

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  5. Elevating-Facial-Recognition-Accuracy-using-CNN Elevating-Facial-Recognition-Accuracy-using-CNN Public

    A deep convolutional neural network to perform facial recognition using Keras

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  6. Cardiovascular-Disease-Risk-Prediction Cardiovascular-Disease-Risk-Prediction Public

    This project endeavors to develop an effective model for predicting the risk of heart attacks based on a thorough analysis of relevant factors. The insights gained from this analysis will contribut…

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