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Shivansh-3010/README.md

πŸ’« About Me:

Hi, I'm Shivansh Deshwal πŸ‘‹

I'm passionate about technology and enjoy building practical solutions through software and data-driven approaches. I love exploring new tools, learning modern technologies, and working on projects that solve real-world problems. Always curious, always learning, and always building.

🌐 Socials:

LinkedIn email

πŸ’» Tech Stack:

πŸ–₯️ Programming Languages

Python Java Dart JavaScript R Scala C

πŸ€– AI, Machine Learning & Data Science

TensorFlow Keras PyTorch scikit-learn Pandas NumPy Matplotlib Plotly MLflow

πŸ“ˆ Analytics, Monitoring & Project Management

Power BI Tableau Grafana Jira

☁️ Cloud & Infrastructure

AWS Azure Google Cloud Cloudflare Oracle Vercel Netlify

πŸ“± Mobile Development

Flutter React Native

🌐 Web Development

React Angular NodeJS FastAPI Streamlit TailwindCSS Context-API

πŸ—„οΈ Databases

MySQL MongoDB Postgres Firebase ApacheCassandra

πŸ“Š Big Data & Data Engineering

Apache Hive Apache Hadoop Apache Spark Apache Kafka

πŸ› οΈ DevOps, Build & Development Tools

Git GitHub Docker Gradle Yarn Apache PowerShell

🌐 Networking & Enterprise Technologies

Cisco .NET

🎨 UI/UX & Design Tools

Figma Canva Sketch Proto.io Adobe

πŸš€ Featured Projects

🌊 AquaVerse-AI

πŸ”Ή AI-powered marine intelligence mobile application designed to provide smart insights and decision support.

πŸ”Ή Built using Flutter, Machine Learning, Geospatial Technologies, and API Integration.

πŸ”Ή Combines intelligent predictions, interactive visualizations, and chatbot assistance.


πŸ”Ή Deep Learning-based medical image classification system for fracture detection.

πŸ”Ή Built using TensorFlow, Keras, ResNet50 Transfer Learning, Python, and Streamlit.

πŸ”Ή Achieved 92.73% test accuracy and provides real-time predictions through a user-friendly interface.


πŸ€– AI-ChatBot

πŸ”Ή Intelligent conversational chatbot designed to provide interactive and human-like responses.

πŸ”Ή Built using modern AI technologies, natural language processing concepts, and user-focused design.

πŸ”Ή Focused on enhancing communication, automation, and real-time user engagement.


πŸ”Ή Developed analytical solutions involving data preprocessing, visualization, dashboarding, and predictive modeling.

πŸ”Ή Worked with Python, Power BI, Tableau, Pandas, NumPy, and Machine Learning techniques.

πŸ”Ή Focused on transforming raw data into actionable insights and decision support systems.

πŸ“Š GitHub Stats:



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  1. Ai-ChatBot Ai-ChatBot Public

    AI-powered conversational chatbot designed to deliver intelligent, interactive, and human-like responses using modern natural language processing and machine learning techniques.

    Python

  2. BoneFractureClassification BoneFractureClassification Public

    Deep Learning-based Bone Fracture Classification System using ResNet50 Transfer Learning, TensorFlow, Keras, and Streamlit for automated X-ray image analysis.

    Jupyter Notebook

  3. AquaVerse-AI AquaVerse-AI Public

    AI-powered marine intelligence application built with Flutter, Machine Learning, Geospatial Technologies, and real-time data integration for smart ocean insights and decision support.

    Dart 1 1

  4. Coffee-Chain-Dashboard Coffee-Chain-Dashboard Public

    Interactive Coffee Chain Sales Dashboard built using Power BI and Tableau to analyze sales performance, customer trends, revenue insights, and operational metrics through data-driven visualizations…

  5. DiabetesPrediction DiabetesPrediction Public

    Machine Learning-based Diabetes Prediction System implemented in R, comparing multiple classification algorithms including Logistic Regression, Naive Bayes, SVM, and Decision Tree for predictive he…

    R

  6. Amazon-Prime-Dashboard Amazon-Prime-Dashboard Public

    Interactive Amazon Prime Video Analytics Dashboard built using data visualization and business intelligence techniques to analyze content trends, ratings, genres, audience insights, and platform pe…