Popular GitHub Repositories for Cities

[KDD'2024] "UrbanGPT: Spatio-Temporal Large Language Models"

City-GAN is a Generative Adversarial Neural Network that generates typical facades of various cities around the world.

DeepEYE utilizes computer vision to detect anomalies in video surveillance, offering a proactive security solution. By employing advanced machine learning algorithms, it distinguishes between normal activities and potential threats, enhancing surveillance across sectors like public safety, industry, and smart cities.

? Greta is an agile voice assistant to help reduce your carbon footprint.

Design and development of a framework of smart cities for intelligent processing data analysis.

Urban mobility simulations with Python3, RLlib (Deep Reinforcement Learning), Mesa (Agent-based modeling) and OpenAI Gym.

AI City Detection (Recognition) From Image By Emirhan Bulut

Generate an optimal path on a map a la Traveling Salesman Problem to hit different landmarks in an input city using Cloudflare Workers AI (using LlaMA-3.1), LangChain (for prompt templates and comma separated list output parser), Mapbox to create a map and get information about cities and landmarks in those cities, and Folium to edit the map.

Final Year Project of Bachelors of Science (Computer Science). A Voice-Enabled-Urdu-Chatbot build using RASA specifically designed for farmers in Pakistan, they would be able to talk to Chatbot in Urdu Language and get to know the weather forecast for next week, Machinery prices, Fertilizers and Pesticides prices in Urdu Language.

A Cyber-Physical System (CPS) is a mixed system integrated with computation, communication, and physical processes, which takes an important position in the smart city, and there are many challenges in its security issues. In this project, we established a testbed and a mini UI system to verify our CPS threat analysis method and auto anomaly detection algorithm.

Building a conversational bot (chatbot) which can help users discover restaurants across several Indian cities using RASA

An end-to-end machine learning solution for forecasting sales across all stores of Rossmann Pharmaceuticals in several cities, six weeks ahead. Accurate sales predictions will assist the finance team in better planning and decision-making

A machine learning solution to forecast sales for Rossmann Pharmaceuticals' stores across various cities six weeks in advance. Factors like promotions, competition, holidays, seasonality, and locality are considered for accurate predictions.

AI personal Assistants like Apple siri and google assistant. The implemented voice assistant can perform the following task it can open YouTube, Gmail, Google chrome and stack overflow. Predict current time, take a photo, search Wikipedia to abstract required data, predict weather in different cities, get top headline news from bbc africa etc...

adoptive weights Physics-Informed Neural networks for solving 3D turbulent flow in steady-state condition. flow over a big cities in Japan.

A Python application designed for efficient pathfinding in graph-based city networks. Leveraging the Uniform Cost Search algorithm, a staple in AI for complex navigation and optimization problems, this tool calculates the shortest routes between cities with support for real-world geographic positioning through coordinate data.

City Lens App is a research tool that collects and analyzes geo-tracking data within cities to enhance traditional maps with cutting-edge technology. Utilizing deep learning, the app offers precise predictions for travel time, bus occupancy, speed, distance, and optimal routes, transforming conventional maps into modern, useful navigation tools

A weather chatbot built using Llamaindex and OpenWeatherMap APIs. This chatbot is capable of answering questions about the weather, comparing forecasts, and finding the closest cities to specified coordinates. It runs locally on your machine using Streamlit.

Weather Distance App Get current weather information for cities worldwide Calculate distances between cities using the Haversine formula Multi-agent architecture with specialized agents for different tasks Coordinator agent that delegates tasks to specialized agents

Forecast sales in all stores across several cities six weeks ahead of time. The process involves preprocessing, data exploration and building predictive model with Machine and Deep Learning technique