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Project 1
Urban Guide: An AI-Powered City Assistant
Image Credit: Manav Gupta
Urban Guide is an AI-powered city assistant that provides real-time, context-aware responses using Agentic RAG architecture. It integrates LLMs, vector databases, and agentic search to deliver accurate city-related information.
Objectives
Urban Guide serves as a reference project to showcase the potential of Agentic RAG architecture in real-world applications. Its objective is to demonstrate how AI-driven systems can provide accurate, real-time, and context-aware responses using LLMs (Ollama), vector databases (Chroma DB), and dynamic data retrieval. The project highlights the scalability of this architecture beyond urban assistance, with potential applications in healthcare, finance, education, and
Project 2
Two-Wheeler crash detection with SOS & Location Tracking
The Two-Wheeler Crash Detection project integrates sensor-based technology with real-time location tracking to improve emergency response during accidents. By automating SOS alerts upon crash detection, it significantly enhances rider safety and reduces response time in critical situations.
Objectives
The objective of this project is to enhance rider safety by leveraging advanced sensor technology for prompt and accurate crash detection. It aims to automatically trigger SOS alerts upon detecting a crash, thereby ensuring that emergency contacts are notified immediately. The system integrates real-time location tracking to provide precise coordinates, facilitating a rapid response from rescue services. Ultimately, it strives to reduce accident-related fatalities and injuries by minimizing emergency response times.
Project 3
Covid Dashboard
Develop an interactive COVID Dashboard that provides real-time metrics—such as infection, recovery, and vaccination rates—through dynamic visualizations, enabling users to stay informed and make data-driven decisions.
Objectives
Develop an interactive COVID Dashboard to provide real-time metrics like infection, recovery, and vaccination rates. Utilize Python and JavaScript for efficient data scraping and dynamic visualization. Enable users to access up-to-date, accurate information for informed decision-making. Foster an engaging and intuitive user experience through responsive design and interactive graphs.
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