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tejassswa17/README.md

Hi, I'm Tejaswa

Who am I?

Computer Science graduate with a strong interest in Machine Learning, Generative AI, Data Analytics, and Software Development. I enjoy building real-world applications and working with modern AI technologies.

What am I currently working on?

  • Building Generative AI applications using LangChain & RAG
  • Developing Machine Learning projects
  • Improving skills in development and model deployment

Tech Stack

  • Languages: Python, SQL
  • Data Science & Analytics: Pandas, NumPy, Data Cleaning, EDA
  • Machine Learning: Scikit-learn, Feature Engineering, Model Building, Model Evaluation
  • Generative AI: LLMs, LangChain, RAG, Prompt Engineering, API Integration(LLM APIs)
  • Software Development: HTML, CSS, JavaScript, Bootstrap
  • Tools: Streamlit, Git, GitHub, VS Code

Career Objective

Seeking opportunities in Machine Learning, Generative AI, Data Analytics, or Software Development roles to apply my skills and contribute to real-world solutions.

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  1. side-channel-attack-detection-using-ml side-channel-attack-detection-using-ml Public

    Machine learning project that detects security attacks in IoT systems by analyzing data and identifying unusual patterns.

    Jupyter Notebook

  2. Career_Advisor_Chatbot Career_Advisor_Chatbot Public

    AI Career Advisor Chatbot using LangChain, Groq, and Streamlit with personalized guidance, roadmaps, and memory.

    Python

  3. rag-healthcare-assistant rag-healthcare-assistant Public

    RAG-based Healthcare Assistant built with LangGraph, ChromaDB, HuggingFace Embeddings, and Groq LLM to provide accurate healthcare information from medical PDFs with conversational memory and Human…

    Python

  4. Email-Intent-Urgency-Detector Email-Intent-Urgency-Detector Public

    An AI-powered email classification system that analyzes email text to detect intent, urgency, and tone using LangChain, Pydantic, and LLMs.

    Python

  5. genai-projects genai-projects Public

    Repository of Generative AI projects including prompt engineering, LLM apps, and AI workflows

    Jupyter Notebook

  6. -Sentiment-Analysis-of-Real-time-Flipkart-Product-Reviews -Sentiment-Analysis-of-Real-time-Flipkart-Product-Reviews Public

    A simple Machine Learning project that analyzes text data and classifies it into positive, negative, or neutral sentiments

    Jupyter Notebook