"As a graduate in Artificial Intelligence, I am passionate about applied Generative AI, Retrieval-Augmented Generation (RAG), LangChain, and Agentic AI. I specialize in developing intelligent solutions that bridge the gap between research and real-world applications."
- ⚡ Achievements Recently Attended the Pak Angle GenAI HeckaThon And Successfully Developed A Gen AI project
- [Webpage](https://muneer-iqbal.vercel.app/)
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🔭 I’m currently working on Developing and fine-tuning Generative AI LLMs, AI agents
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🌱 I’m currently learning Advanced Generative and Agentic AI solutions
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💬 Ask me about Machine Learning, Deep Learning, Generative and Agentic AI
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📫 How to reach me [[email protected]]
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⚡ Fun fact When I’m not coding, I enjoy exploring new AI research papers and attending tech meetups and learning new things
- [Voice-To-Voice-Chat-Model](https://huggingface.co/spaces/Muneer-Iqbal/voice-chat)
- [Ai Based English Learning Bot](https://huggingface.co/spaces/Muneer-Iqbal/buddy-speaking)
Hello! I'm Muneer Iqbal, a graduate in Artificial Intelligence from The Islamia University of Bahawalpur (GPA: 3.48/4), Class of July 2024. My academic journey and hands-on projects have provided me with a strong foundation in Machine Learning (ML), Deep Learning (DL), Generative AI, and Exploratory Data Analysis (EDA).
Currently, I am deeply engaged in Generative AI engineering, Retrieval-Augmented Generation (RAG), LangChain, and Agentic AI, exploring their real-world applications. My recent work focuses on building intelligent, interactive AI-driven solutions that bridge the gap between research and practical implementation.
I'm always eager to learn, collaborate, and contribute to innovative AI projects. Let's connect and build the future of AI together!
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Deep Learning-Based Lungs Disease Pnemonia Detection: Designed and implemented a deep learning model using Convolutional neural networks (CNN) for image analysis. Library TensorFlow is used. This prject purpose to detect pnemonia disease from x-ray image.It takes image as input apply some operations and detect the pnemonia probability.
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Deep Learning-Based Image Classification: Developed a convolutional neural network (CNN) to classify images with high accuracy. This project is Skin disease classification. the model is trained on four diseases. Takes an image of affected skin then classify the image affected with disease.
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Machine Learning for Predictive Analytics: Applied various ML algorithms to develop predictive models, achieving improved accuracy and efficiency. This project highlights my skills in data-driven predictive modeling. The project predict Heart Disease stages based on medical data.
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Generative AI and Bot Development: Created several bots utilizing generative AI technologies for dynamic and interactive applications. This experience has enhanced my expertise in Python programming and AI frameworks.
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sentiments Analysis on different Daraz product data: Sentiment analysis is a natural language processing (NLP) technique used to determine the emotional tone behind a body of text. This project aims to classify text reviews from users into three sentiment categories using various machine learning and deep learning models. I am passionate about leveraging AI to drive innovation and solve real-world problems. My current focus on Generative AI allows me to explore cutting-edge technologies and apply them to create impactful solutions.
Feel free to explore my projects and reach out if you have any questions or opportunities for collaboration. I'm always open to discussing new ideas and tackling challenging problems!
Connect with Me: