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abhipsa14/README.md

Hi there πŸ‘‹ I'm Abhipsa

  • Passionate about building intelligent systems using AI, Machine Learning, and Data Engineering.
  • I enjoy creating practical projects that combine software engineering with real-world problem solving.

πŸš€ About Me

  • Interested in Artificial Intelligence, Data Engineering, and Backend Systems
  • Currently building LLM-based applications and voice assistants
  • Exploring RAG systems, Edge AI, and distributed data pipelines
  • Love working with Python, SQL, and Linux-based systems
  • Currently learning advanced data engineering and scalable ML systems

πŸ› οΈ Tech Stack

Languages
AI / Machine Learning RAG Pipelines
Data Engineering ETL Pipelines | Data Processing
Tools & Platforms Ollama

πŸ“Œ Featured Projects

Voice Assistant on Raspberry Pi

Wake-word activated voice assistant running locally with low latency. Features:

  • Wake word detection
  • Voice Activity Detection
  • Retrieval-Augmented Generation
  • TinyLlama fallback using Ollama

πŸ“š AI Study Assistant

A multi-agent AI system that helps students with:

  • Personalized study schedules
  • RAG-based doubt solving
  • Schedule management

πŸ“Š GitHub Stats

GitHub stats

πŸ“« Connect With Me

Always curious and exicted to learn new technologies and build impactful projects.

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  1. DeepSlice_5G_network_model DeepSlice_5G_network_model Public

    DeepSlice - 5G Network Model for slicing, project focusing on implementing and analysing 5G network slicing using advanced machine learning techniques.

    Jupyter Notebook 1

  2. EduBridge EduBridge Public

    Edubridge is a multi-agent system used to combine study, scheduling and finding answers to questions.

    HTML

  3. CaratValue CaratValue Public

    Machine Learning project that project that predicts the price of diamonds based on their physical and quailty features such as carat, cut, color, clarity and dimensions.

    Jupyter Notebook

  4. Voice_Activated_Chatbot Voice_Activated_Chatbot Public

    A voice enabled chatbot, I built it for my college which worked in raspberry pi 4/5. It works on caching and rag concepts.

    Python