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Learning, building, and documenting my journey in AI & Software Development
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Learning, building, and documenting my journey in AI & Software Development

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Shraddha-Verma1203/README.md

Hi, I'm Shraddha Verma 👋

AI & Machine Learning Enthusiast | B.Tech CSE | Research Intern @ NIT Goa

Building intelligent systems that combine Machine Learning, Deep Learning, and Computer Vision to solve real-world problems.

About Me

🎓 B.Tech Computer Science Student

🧠 Summer Research Intern @ NIT Goa

🤖 Passionate about AI, Machine Learning and Multimodal AI

📚 Currently exploring Deep Learning, Computer Vision and LLMs

🌱 I enjoy building projects that bridge research with practical applications.

  • Interested in Artificial Intelligence, Machine Learning, and full-stack development
  • Building projects in Python, Java, DBMS, and web technologies
  • Currently working on Multimodal Emotion Recognition
  • Learning by creating practical, portfolio-worthy projects

Interest:

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • NLP
  • Multimodal AI

Currently:

  • AI Research
  • Open Source
  • Building ML Projects

Tech Stack

Languages: Python, Java, SQL
Tools: Git, GitHub, VS Code, IntelliJ IDEA, MySQL Workbench
Areas: AI/ML, DBMS, Data Analysis, Software Development

Featured Projects

  • Multimodal Emotion Recognition
  • Treasure Hunt GUI
  • Coders of Bangalore Instagram Analytics
  • College Placement Management System

Connect With Me

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  1. Treasure-Hunt-GUI Treasure-Hunt-GUI Public

    Interactive Java Swing application for graph-based treasure hunt simulation using weighted paths and route visualization.

    Java

  2. Coders-of-Bangalore-Instagram-Analytics Coders-of-Bangalore-Instagram-Analytics Public

    Pure Python project for cleaning and analyzing Instagram follower data to generate actionable insights.

    Jupyter Notebook

  3. Reliability-Aware-Multimodal-Emotion-Recognition Reliability-Aware-Multimodal-Emotion-Recognition Public

    Reliability-Aware Multimodal Emotion Recognition using Text, Audio & Facial Expressions with Adaptive Fusion, Explainable AI and Conflict Detection. Developed during my Summer Research Internship a…

    Python