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SreeEswaran/README.md

Hi there!👋

I'm Sree Deekshitha Yerra, an AI Developer, Researcher, and Mentor with expertise in AI, Cloud Computing, and IoT. I excel in programming, project management, and mentoring across various technologies, including Web, Game, Android Development, and DevOps. I've also contributed to social causes by donating four customized IoT projects.

🌐 Connect with Me

Check out my other handles for more content: Here's the link tree- Links to all my handles

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Technical Skills

  • Programming Languages: Python, Java, C/C++, Kotlin (intermediate), C#.
  • Artificial Intelligence: Large Language Models (LLMs), NLP, Generative AI, RAGs, GANs, KNNs, ASR models, Translation models, GPT series, Transformers, TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy, OpenCV, Hugging Face.
  • Cloud Services: AWS, Google Cloud Platform (GCP), Microsoft Azure.
  • Web Development: HTML5, CSS, JavaScript, Node.js, Express.js.
  • Databases: MySQL, Vector databases, Cloud databases, NoSQL databases, MongoDB, Google Firebase, SQLite, Apache Cassandra, Neo4j.
  • Tools & Frameworks: Git, GitHub, Docker, Jenkins, Kubernetes, Ansible, FastAPI, Flask, CI/CD.
  • Development: Web, Game (Cloud and Unity based), Android, Web3.

Languages and Tools

Python TensorFlow Keras PyTorch Scikit-Learn Pandas NumPy Matplotlib Seaborn OpenCV NLTK Hugging Face Jupyter Google Cloud AI AWS Machine Learning HTML5 CSS3 JavaScript Node.js SQLite PHP React Express.js Apache Spark FastAPI Power BI MongoDB

🏆 GitHub Trophies

My GitHub Stats

Top Langs SreeEswaran's GitHub stats GitHub Streak

Projects

  • Deep Dub: Developed a deep learning model for video translation.
  • Pronunciation Model: Created a pronunciation rating system using AI models.
  • Text Translator: Developed a full-stack app for language translation.
  • LLM Telegram Bot: Built a Telegram bot with AI integration.
  • Smart Invigilation System: Developed an exam invigilation app.
  • Smart Gloves & MediServe: IoT applications for assisting the blind and elderly.
  • For more do check out the repositories (More projects are yet to be added)

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  1. KAN-based-Movie-Review-Sentiment-Analysis KAN-based-Movie-Review-Sentiment-Analysis Public

    This project showcases the implementation of a Knowledge-Aware Neural Network (KAN) for sentiment analysis on movie reviews using the IMDb dataset. The KAN model integrates traditional neural netwo…

    Jupyter Notebook 1

  2. NST-for-Artistic-Image-Creation NST-for-Artistic-Image-Creation Public

    This project focuses on Neural Style Transfer (NST), a technique that applies the style of one image to the content of another image, creating a new, stylized image. NST leverages deep learning mod…

    Python 1

  3. Text-Generation-using-T5 Text-Generation-using-T5 Public

    This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

    Jupyter Notebook 1

  4. Image-Captioning-Transformer Image-Captioning-Transformer Public

    This project demonstrates an image captioning model using a Transformer architecture. The model takes an image as input and generates a descriptive caption. We use the COCO dataset for training and…

    Python 1

  5. Image-Classification-using-EfficientNet Image-Classification-using-EfficientNet Public

    This project uses a pre-trained EfficientNet model to classify images into different categories. The model is fine-tuned on a custom dataset for this purpose.

    Jupyter Notebook 1

  6. Text-Summarization-using-BART Text-Summarization-using-BART Public

    This project demonstrates text summarization using the BART (Bidirectional and Auto-Regressive Transformers) model. BART is a transformer model trained as a denoising autoencoder and is effective f…

    Python 2