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Sourabhbhalke/README.md

πŸ‘‹ Hi, I’m @Sourabhbhalke

Explore multiple project demonstrations on the channel to get a better understanding of my work and expertise in chatbots, AI Agents, LLMs, RAG, Autonomous driving, OCR, ML and MLOps in general.

NEW πŸŽ₯ YouTube Demo - AI neural-voice and video synthesis!

Check out previous and upcoming project in LLM and RAG with trailers on YouTube: Synthesized entirely with AI!

YouTube Video


πŸ› οΈ Featured Projects

Chatbots & Conversational AI Autonomous Systems
company-chatbot-demo Robot Localization
Technologies: Streamlit, Dialogflow CX, Google Cloud NLP, Python Technologies: OpenCV, NumPy
A multilingual chatbot template for businesses, offering dynamic responses and seamless integration. Developed a system for tracking object movement using particle filters for autonomous navigation.
CLU (Conversational Language Understanding) Vehicle Detection and Counting Flask App
Technologies: Dialogflow CX, Google Cloud NLP, Python Technologies: OpenCV, TensorFlow, PyTorch
Focused on developing intelligent chatbots integrated with CLU for seamless and context-aware conversations. Real-time vehicle detection and counting application built with Flask.
LiteLLMtests-public Video Tracking with Particle Filters
Technologies: Large Language Models (LLMs), Python Technologies: OpenCV
Experiments and testing with lightweight LLMs for chatbot and conversational AI applications. Tracks objects in video frames using particle filters to predict movement.
jinaAI-embeddings-movie
Technologies: Jina AI, Weaviate, Python
A movie recommendation system using embeddings, created during Hack Night Berlin.
AssemblyAI-audio-transcript
Technologies: AssemblyAI APIs, Python
Demonstrates audio transcription capabilities with AssemblyAI for conversational AI applications.

Machine Learning Applications

  1. binary_classifier_streamlit-mushroom
    Technologies: Support Vector Machine (SVM), Logistic Regression, Random Forest
    A web app for classifying mushrooms as edible or poisonous using machine learning algorithms.

  2. Dog Breed Classifier (Streamlit App)
    Technologies: TensorFlow, PyTorch
    Predicts dog breeds from images using machine learning models.

  3. Traffic Sign Classification
    Technologies: OpenCV, TensorFlow, PyTorch
    Built a classifier for recognizing traffic signs in images.


Deployment Projects

  1. Emotion Recognition Neural Network (Deployed on AWS)
    Technologies: TensorFlow, PyTorch
    Recognizes human emotions using neural networks deployed on AWS.

  2. Image Watermarking App (Deployed on Render)
    Technologies: OpenCV
    Adds watermarks to images with an easy-to-use interface.

  3. Pan Card Tempering Detector App (Deployed on Render)
    Detects tampering in PAN card images using OpenCV.

  4. Face Swapping Flask App
    Swaps faces in images using advanced image processing techniques.


Other Notable Projects

  1. Sympy Matrix Multiplier
    Matrix multiplication tool using Sympy and Pandas for educational purposes.

  2. Recognizing Shapes with OpenCV
    Detects and recognizes shapes like lines and circles in images using OpenCV.

  3. Traffic Sign Detector App
    A Flask app that predicts German traffic signs from uploaded images.

  4. Logo Watermarker
    Creates watermarks on images (e.g., logos) using Colab notebooks.

  5. ID Tempering Detection
    Detects tampering in ID cards using image processing techniques.

  6. L1.1 Leetcode Prize Distribution Analysis


πŸ‘€ Interests

  • Chatbots & Conversational AI: Building intelligent systems that understand and respond to user queries effectively.
  • Retrieval-Augmented Generation (RAG): Exploring search-enhanced generative AI models.
  • Autonomous Systems: Leveraging computer vision and robotics for smarter navigation.
  • Machine Learning: Developing innovative solutions to solve real-world problems.
  • Open Source Projects: Contributing to cutting-edge technologies and collaborative development.

🌱 Currently Learning

  • Advanced TensorFlow for model optimization.
  • Retrieval-Augmented Generation (RAG) techniques.
  • Robotics integration with AI for autonomous systems.

πŸ’žοΈ Collaboration Interests

  • Chatbots & NLP projects.
  • Retrieval-Augmented Generation (RAG) systems.
  • Robotics and Autonomous Vehicles.
  • Innovative AI-powered software solutions.

πŸ“« How to Reach Me


⚑ Fun Fact

I once built a self-driving car simulation using CNNs integrated with a Unity game engine to predict driving angles!

Popular repositories Loading

  1. jinaAI-embeddings-movie jinaAI-embeddings-movie Public

    Jina AI x Weaviate Hack Night Berlin 12-12-24 christmas movie recommendation using embeddings!

    Python 1

  2. nunc_perfect_cup_of_coffee nunc_perfect_cup_of_coffee Public

    Forked from digispect-intel/nunc_perfect_cup_of_coffee

    private fork

    Python 1

  3. ID_tempering_detect ID_tempering_detect Public

    Python

  4. Sourabhbhalke Sourabhbhalke Public

    Config files for my GitHub profile.

  5. Dog_breed_classifier Dog_breed_classifier Public

    Dog Breed Classification: Colab model training & Streamlit app for predicting dog breeds from images

    Jupyter Notebook

  6. Logo_watermarker Logo_watermarker Public

    This repository will contain Colab/noteboo code for creating watermark on an image(for example , BMW logo)

    Jupyter Notebook