Build a Generative AI system that provides real-time insights into local businesses in London. The AI agent can analyze reviews, generate actionable recommendations, and help business owners make data-driven decisions. This project demonstrates how AI can transform local commerce by combining automated data retrieval with intelligent content generation.

Key Highlights:

• Technology : Python, LangChain, LangGraph, OpenAI GPT
• Real-time business data analysis and personalized insights
• Generates automated reports and recommendations
• Advanced Sentiment & Trend Detection

Create an AI-driven event planner tailored for Manchester. This system can autonomously suggest venues, catering services, schedules, and promotional strategies by analyzing user inputs and local data. Agentic AI enables multi-step decision-making and automation, while Generative AI produces human-like, context-aware recommendations.

Key Highlights:

• Technology: LangChain multi-agent orchestration, RAG (Retrieval-Augmented Generation), OpenAI GPT
• Suggests venues, vendors, and schedules based on Manchester local data
• Automates multi-step planning and generates professional summaries
• Dynamic Budget Optimization & Cost Forecasting

Develop an AI assistant that provides live traffic updates and optimal commuting routes for Birmingham residents. Combining predictive analytics with Generative AI, the system offers proactive alerts and personalized route suggestions to reduce travel time. This project emphasizes real-world application of multi-agent AI for local urban mobility.

Key Highlights:

• Technology: Python, LangChain agents, OpenAI GPT, real-time API integration
• Real-time traffic and public transport updates in Birmingham
• Multi-agent decision-making for dynamic route optimization
• Generates actionable insights with user-friendly AI-generated summaries