Climate‑Plan AI turns ultra‑local sensor data (every 100–250 m) into live heat, air‑quality, and fire‑risk alerts displayed on an interactive map and dashboard. An AI planner layer translates those raw metrics into clear next‑step recommendations for individuals, schools, or enterprises.

This is a Streamlit app designed to help users create a personalized carbon reduction plan based on their location, energy usage, and carbon reduction goals.

Application is designed to assist urban planners in analyzing climate data, topography, and interacting with AI for urban planning recommendations for specific areas within Pakistan as well as world.

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Climate Coach AI — Smart sustainability tracker and AI meal planner platform hosted on AWS.

AI-Powered Terrace Gardening Planner! for those who struggle to match plants with their specific balcony micro-climate.

🌾 GRA: AI-powered climate adaptation planner for rural communities. AWS ImpactX Challenge finalist at IIT Bombay. Generates hyper-local resilience strategies using Google Gemini AI.

AgriMind AI – AI-Powered Area-Wise Agriculture Planner AgriMind AI is a multi-AI-agent system that delivers smart, location-specific agriculture plans using real soil maps (ISRIC SoilGrids) and climate data.

Next.js frontend for the Climate-Aware Travel Planner. Features a dynamic, weather-responsive UI using Tailwind CSS, Glassmorphism, and Lucide icons. Consumes a FastAPI backend to display AI-generated packing lists and climate data.

EcoSphere AI delivers real-time, global housing risk intelligence—forecasting floods, heatwaves, and droughts - to help planners, policymakers, and families build safer, climate-resilient communities.

Aeroterra is an interactive geospatial decision-support platform that integrates NASA Earth observation data, real-time climate APIs, and an AI-powered chatbot to address urban challenges in Bengaluru. It empowers citizens, policymakers, and urban planners with actionable insights for climate resilience.

Core Python microservice for a Climate-Aware Travel Planner assessment. Implements Clean Architecture using FastAPI, Pydantic, OpenWeather, and Gemini to deliver AI-generated travel plans strictly typed for frontend consumption.

Urban Heat AI transforms abstract climate data into a tangible, interactive experience. By leveraging real-time data and powerful AI, we empower citizens, city planners, and researchers with the tools to understand, mitigate, and adapt to urban heat.

The Urban Vitality Index (UVI) is an AI-driven decision-support system that integrates NASA Earth observation (EO) data to help city planners design climate-resilient, equitable, and environmentally balanced urban growth strategies.

AI travel planner built with Streamlit, Plotly, and OpenAI. Uses Open‑Meteo climate data, crowd/cost indices, and a scoring algorithm to recommend the best months for 40+ cities. Includes LLM summaries, interactive visualizations, and a portfolio‑ready UI

Travel Planner AI is a smart trip recommendation system that suggests personalized travel destinations based on budget, interests, duration, and climate. It uses content-based filtering and an interactive Streamlit app to deliver real-time travel recommendations and insights.

Ecoverse AI is an AI-powered green city planning assistant that analyzes pollution, heat index, and environmental data to provide smart, sustainable urban development recommendations. It helps city planners and communities make data-driven decisions for building eco-friendly, climate-resilient, and healthier cities with positive public impact.

Future Farm Planner is an AI-based multi-agent system that predicts future climate conditions, crop yield, and potential risks to help farmers make informed decisions. It combines machine learning, data analysis, and intelligent planning to provide smart, data-driven agricultural recommendations.

AI travel planner that creates personalized, climate-conscious itineraries. Input destination, budget, interests, food preferences – get day-wise plans with maps, carbon footprint, and eco-friendly recs. Features chatbot, hidden gems, currency converter, and travel offers. Built with React, TypeScript, Tailwind, Firebase. Hackathon project.

AI travel planner that creates personalized, climate-conscious itineraries. Input destination, budget, interests, food preferences – get day-wise plans with maps, carbon footprint, and eco-friendly recs. Features chatbot, hidden gems, currency converter, and travel offers. Built with React, TypeScript, Tailwind, Firebase. Hackathon project.

Smart Travel Destination Advisor and Planner is an AI-based travel app that recommends destinations and creates personalized trip itineraries based on budget, climate, duration, and interests. Built with Streamlit, Pandas, LangChain, and Groq, it also includes an interactive travel assistant for trip planning.