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WakeelDev/README.md

Hi 👋, I'm Wakeel Khan

AI Engineer | Python Developer | LLM Apps • NLP • Deep Learning | Streamlit • FastAPI • OpenAI • Claude API

coding


  • 🔭 I'm currently building Multi-LLM Router — a unified platform that integrates and dynamically routes queries across GPT-4o, Claude 3, Gemini, Cohere, and Mistral based on task type.
  • 🤝 I'm open to freelance projects, collaborations, and entry-level AI/ML opportunities in Chatbot Development, ML Model Training, and Workflow Automation.
  • 🌱 I'm currently advancing my skills in LLM Fine-Tuning and AI Automation workflows using n8n.
  • 👨‍💻 Explore my work on GitHub.
  • 💬 Ask me about anything related to Machine Learning.
  • 📫 Reach me at wakeelkhanservices@gmail.com
  • 💼 Find me on Fiverr: Click here
  • 🔗 Connect on LinkedIn

🌐 Connect with me:

LinkedIn Kaggle YouTube


🛠️ Languages and Tools:

C++ Django Flask MySQL OpenCV Pandas Python PyTorch Scikit-learn Seaborn TensorFlow

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  1. DUI-Case-Analyzer DUI-Case-Analyzer Public

    An AI-powered web application designed for lawyers, defense attorneys, and legal investigators to automate the analysis of Driving Under the Influence (DUI) cases.

    Python 3

  2. cnn-flower-classifier cnn-flower-classifier Public

    A Convolutional Neural Network (CNN) model trained on a dataset of five flower classes; daisy, dandelion, rose, sunflower, and tulip - to classify images with high accuracy. The model is deployed u…

    Python 3

  3. Stock-Market-App Stock-Market-App Public

    A Streamlit app for forecasting stock prices using models like SARIMA, Random Forest, LSTM, Prophet, XGBoost, and ARIMA, with interactive data visualization and parameter tuning.

    Python 4 1

  4. EduGenius EduGenius Public

    A Streamlit app that uses OpenAI GPT to explain topics, generate study plans, quizzes, and summaries-all in one place

    Python 3

  5. Speech-to-Text Speech-to-Text Public

    A Streamlit app that transcribes audio and video files using OpenAI's Whisper-1 model. Upload MP3, WAV, MP4, MOV, or AVI files, and get the transcribed text instantly.

    Python 3