Prateek Garg

Education

Skills

Languages & Libraries

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Models

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Interests

Apart from being an AI developer, I enjoy most of my time learning other exciting stuffs either it be a Digital Magazine , Programming Languages or Developing New Projects. Although rest is very important in life but somehow doing exciting stuff relaxes me.

Apart from learning, I follow a number of sci-fi and fantasy genre movies and television shows.
I also love to travel and to cook.

Projects

• AI driven Knowledge Base Agent using RAG :

  This project leverages RAG (Retrieval-Augmented Generation) to build an AI-driven knowledge base agent that retrieves relevant information from large datasets and generates contextually accurate responses. By combining information retrieval with generative AI, the agent enhances the quality and relevance of answers, making it ideal for customer support, internal documentation, or any knowledge management system. The solution allows real-time, dynamic retrieval of information, providing users with highly relevant, context-aware responses drawn from vast knowledge repositories.



• Hybrid Cloud Management with AI Agents :

  This project integrates AI agents to optimize Hybrid Cloud management, enabling seamless coordination between on-premise and cloud resources. Using AI-powered automation, the system monitors and manages workloads, ensuring efficient resource allocation, cost optimization, and performance tuning across multi-cloud environments. The solution leverages AI agents for decision-making, workload distribution, and real-time issue resolution, providing IT teams with actionable insights for better scalability, security, and operational efficiency in hybrid cloud setups.



• ServiceNow Data Analysis :

  This project leverages Python and ServiceNow APIs to fetch and analyze incident, change, and request data from the ServiceNow platform. The analysis focuses on identifying trends, bottlenecks, and key performance metrics within IT service management workflows. Using AI-powered analysis and data visualization tools, the project provides actionable insights to improve service delivery, optimize processes, and enhance decision-making. The solution is designed for IT teams and service managers seeking to drive efficiency and improve operational outcomes within the ServiceNow ecosystem.



• CalmConnect : AI-Powered Wellness Companion :

  CalmConnect is an AI-driven wellness chatbot built using Python and Streamlit for dynamic user interaction. It leverages the LLaMA 3.1 model from Ollama for real-time, context-aware conversations, generating personalized meditations and affirmations. The system integrates session state tracking and NLP to offer tailored mental wellness support, while Base64 and CSS enhance the user experience with immersive design. This project combines cutting-edge AI with human-centered design to promote mindfulness and stress relief.



• AI-Powered Multi-Agent Daily Planner for Personalized Scheduling :

  This project utilizes Python, Streamlit, and Ollama's AI model to create a multi-agent daily planner that generates personalized schedules based on user input. Each AI agent focuses on different aspects of the day, such as sleep, work, meals, workouts, and rest, to create a well-balanced routine. The app demonstrates the power of multi-agent systems and AI integration for interactive web applications, offering a real-world productivity tool for users seeking a balanced, efficient daily schedule.



• YouTube Data Insights: AI-Driven Video Trend Analysis :

  This project utilizes Python, Streamlit, and AI models (such as LLaMA ) to analyze data from a video streaming platform. It fetches key metrics like trending videos, user watch history, and engagement data, providing actionable insights into content performance and user preferences. The system leverages AI-powered analysis to identify popular genres, predict user interests, and optimize content strategies. The interactive web interface enables real-time exploration of trends, watch time, and personalized recommendations, empowering content managers to make data-driven decisions.



• VMware Infrastructure End-to-End Deployment:

  Managed the end-to-end deployment of VMware infrastructure for multiple clients, ensuring scalable and reliable virtual environments.



• Citrix VDI Infrastructure End-to-End Deployment:

  Executed comprehensive deployment of Citrix VDI solutions, providing secure and efficient virtual desktop infrastructures for various clients.