Sivani dangudubiyyam

At Edunet Foundation, in a Microsoft & SAP Collaboration, I built a CNN-based image classification model to classify organic and recyclable waste. I handled data preprocessing, training, and evaluation with TensorFlow and Keras, achieving over 90% accuracy through hyperparameter tuning and optimization.

During my AI & Cloud internship at Edunet Foundation, in an IBM Collaboration, I worked with IBM Cloud services and AI tools to build intelligent applications. I developed an IBM Watson Assistant chatbot that generates quotes based on user input, with designed intents and conversational flows.

I built the Learning Path Generator, an AI-powered web application that creates personalized learning paths from users’ goals and timelines. I implemented Model Context Protocol to manage AI context and coordinate tools, and used Pipedream workflows to connect external services such as YouTube and Google Drive or Notion.

I also designed an n8n workflow to collect AI/ML research articles from RSS feeds, summarize them, and deliver a weekly email newsletter. I’m seeking an AI/ML Intern role.