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Kaushal-11/README.md

🧑‍💻 About Me

I’m a Computer Engineering student exploring different domains of AI — Machine Learning, Deep Learning, NLP, Speech, and Medical Imaging.
Right now, I’m working on research-driven and real-world projects to deepen my understanding and grow as an AI engineer.

  • 🎓 B.Tech Computer Engineering student at CHARUSAT (CGPA: 9.81/10)
  • 💼 Ex. Research Intern at LTRC, IIIT Hyderabad
  • 🌱 Deepening my expertise in in NLP, LLMs, Speech, and GenAI
  • 🚀 Currently working in Speech Technology
  • 🧩 Strong in Problem Solving & Analytical Thinking
  • 📫 Reach me at kaushalbhanderi34@gmail.com

🌐 Socials

LinkedIn
GitHub

💻 Tech Stack

Languages

C C++ Java JavaScript Python SQL

Technologies & Frameworks

ROS2 TensorFlow Keras PyTorch Transformers NLTK SpaCy OpenCV

Web & Tools

HTML CSS Bootstrap GitHub

🎯 GitHub Stats

GitHub Stats

📊 Most Used Languages

Top Langs

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  1. Emotion-Aware-LLM-Speech Emotion-Aware-LLM-Speech Public

    An end-to-end multimodal emotional AI system combining Speech Emotion Recognition, LLM activation steering, emotional TTS, memory-based conversation control, and recommendation systems.

    Jupyter Notebook

  2. Speech-to-Speech-Translation-for-Indian-Languages Speech-to-Speech-Translation-for-Indian-Languages Public

    This repository contains Cascade and Direct approach along with finetune code

    Jupyter Notebook

  3. Behavioural-Biometric-AI Behavioural-Biometric-AI Public

    a secure mobile banking application that collects behavioral and device metadata through an integrated Central Logger. This logger captures touch, sensor, device for each user session, enabling Mac…

    Python

  4. PrepArc---AI-Interview-AIML PrepArc---AI-Interview-AIML Public

    Python

  5. HealAI---Medical-Platform-powered-by-AI HealAI---Medical-Platform-powered-by-AI Public

    Seamless Healthcare: AI-Powered Support, Live Doctor Appointments, and Digital Prescriptions with Elegant Dashboard.

    JavaScript

  6. Medical-Segmentation-using-UNET Medical-Segmentation-using-UNET Public

    Medical segmentation using UNET refers to a technique in medical image analysis where the UNET architecture is applied to segment structures or regions of interest in medical images. UNET is a conv…