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Samar23dev/README.md

Animated Developer GIF

Hi there 👋 I'm Samar Mittal!

💻 Passionate Software Developer | Always Building & Learning


🚀 About Me

I'm a dedicated and enthusiastic software developer with a strong passion for building robust, scalable, and user-friendly applications. My journey in software development is driven by a curiosity to learn and a desire to create impactful solutions. I enjoy tackling challenging problems, diving deep into new technologies, and continuously improving my craft. My focus lies in developing innovative solutions, particularly in areas like machine learning, web development, and system design.


🛠️ My Toolbox: Technologies & Skills

Here's a snapshot of the technologies and tools I enjoy working with:

Languages:

Java Python C/C++ SQL HTML5 CSS3 JavaScript Dart

Frameworks & Libraries:

React.js Next.js Node.js Express.js Flask Pandas NumPy Streamlit spaCy Flutter TensorFlow Keras Folium

Databases:

MongoDB MySQL

Tools & Platforms:

Git GitHub AWS Google AI Studio Postman


💡 Featured Projects from My Repositories

Here are some key projects from my GitHub portfolio, demonstrating my capabilities and interests:

1. GroMo AI Sales Coach

  • Description: Developed an AI sales coach to optimize performance using ML models for prediction/forecasting. This system provides personalized insights and strategies.
  • Tech Stack: Python, Flask, TensorFlow, Keras, MongoDB
  • Key Features: Built Flask REST APIs for personalized insights, strategies, and lead generation, integrated with mobile.

2. GeoSpatial News Scraper and Analyzer

  • Description: Created a real-time disaster information platform, scraping news with NLP (spaCy) for key insights.
  • Tech Stack: Python, MongoDB, Streamlit, Flutter, Folium, spaCy, Windy API
  • Key Features: Visualized data via interactive maps (Folium, Windy API) and developed a cross-platform Flutter app.

3. E-Health Care System

  • Description: A CLI-based healthcare system designed to simulate patient and appointment workflows, ensuring data persistence.
  • Tech Stack: Java, File Handling, Object Serialization
  • Key Features: Built a CLI-based healthcare system simulating patient/appointment workflows with Java I/O & serialization. Ensured data persistence and demonstrated modular OOP design.

4. Space Allocation System

  • Description: An ML solution developed to optimize retail storage by leveraging historical sales data for predictive analytics.
  • Tech Stack: Python, Flask, TensorFlow, Keras, MongoDB, REST API
  • Key Features: Designed an ML solution to optimize retail storage using historical sales data for prediction. Developed TensorFlow-Keras model and Flask REST APIs for real-time storage recommendations.

📈 My GitHub Activity

Samar's GitHub Stats Top Languages


🤝 Let's Connect!

I'm always open to collaborating on interesting projects, sharing knowledge, or discussing new opportunities. Feel free to reach out!

LinkedIn Email LeetCode CodeChef Codeforces

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  1. Java_HealthCareSystem_Basic_FileHandling Java_HealthCareSystem_Basic_FileHandling Public

    This project is a comprehensive health management system designed to digitize clinic workflows. It transitions hospital management from manual paperwork to a secure, high-performance desktop enviro…

    Java 1

  2. CC_Agent_Sales_Analysis CC_Agent_Sales_Analysis Public

    Python

  3. Disaster_Info Disaster_Info Public

    Python 1

  4. IntelliDocs IntelliDocs Public

    JavaScript 1

  5. AI-shelf-predictor-backend AI-shelf-predictor-backend Public

    Forked from Sat-14/AI-shelf-predictor-backend

    Full backend

    Python

  6. BlackHats-AISocialWorker BlackHats-AISocialWorker Public

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