Found 671 repositories(showing 30)
LeeHounshell
AI vision robot car with 3 layers: 1) Android App, 2) Jetson Nano, 3) Arduino Robot Car.
Aryia-Behroziuan
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If computers experience life through their own senses, they cease to be purely a means to an end determined by their usefulness to... humans. Per GNW [the Global Neuronal Workspace theory], they turn from mere objects into subjects... with a point of view.... Once computers' cognitive abilities rival those of humanity, their impulse to push for legal and political rights will become irresistible – the right not to be deleted, not to have their memories wiped clean, not to suffer pain and degradation. The alternative, embodied by IIT [Integrated Information Theory], is that computers will remain only supersophisticated machinery, ghostlike empty shells, devoid of what we value most: the feeling of life itself." (p. 49.) Marcus, Gary, "Am I Human?: Researchers need new ways to distinguish artificial intelligence from the natural kind", Scientific American, vol. 316, no. 3 (March 2017), pp. 58–63. A stumbling block to AI has been an incapacity for reliable disambiguation. An example is the "pronoun disambiguation problem": a machine has no way of determining to whom or what a pronoun in a sentence refers. (p. 61.) E McGaughey, 'Will Robots Automate Your Job Away? Full Employment, Basic Income, and Economic Democracy' (2018) SSRN, part 2(3) Archived 24 May 2018 at the Wayback Machine. George Musser, "Artificial Imagination: How machines could learn creativity and common sense, among other human qualities", Scientific American, vol. 320, no. 5 (May 2019), pp. 58–63. Myers, Courtney Boyd ed. (2009). "The AI Report" Archived 29 July 2017 at the Wayback Machine. Forbes June 2009 Raphael, Bertram (1976). The Thinking Computer. W.H.Freeman and Company. ISBN 978-0-7167-0723-3. Archived from the original on 26 July 2020. Retrieved 22 August 2020. Scharre, Paul, "Killer Apps: The Real Dangers of an AI Arms Race", Foreign Affairs, vol. 98, no. 3 (May/June 2019), pp. 135–44. "Today's AI technologies are powerful but unreliable. Rules-based systems cannot deal with circumstances their programmers did not anticipate. Learning systems are limited by the data on which they were trained. AI failures have already led to tragedy. Advanced autopilot features in cars, although they perform well in some circumstances, have driven cars without warning into trucks, concrete barriers, and parked cars. In the wrong situation, AI systems go from supersmart to superdumb in an instant. When an enemy is trying to manipulate and hack an AI system, the risks are even greater." (p. 140.) Serenko, Alexander (2010). "The development of an AI journal ranking based on the revealed preference approach" (PDF). Journal of Informetrics. 4 (4): 447–459. doi:10.1016/j.joi.2010.04.001. Archived (PDF) from the original on 4 October 2013. Retrieved 24 August 2013. Serenko, Alexander; Michael Dohan (2011). "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence" (PDF). Journal of Informetrics. 5 (4): 629–649. doi:10.1016/j.joi.2011.06.002. Archived (PDF) from the original on 4 October 2013. Retrieved 12 September 2013. Sun, R. & Bookman, L. (eds.), Computational Architectures: Integrating Neural and Symbolic Processes. Kluwer Academic Publishers, Needham, MA. 1994. Tom Simonite (29 December 2014). "2014 in Computing: Breakthroughs in Artificial Intelligence". MIT Technology Review. Tooze, Adam, "Democracy and Its Discontents", The New York Review of Books, vol. LXVI, no. 10 (6 June 2019), pp. 52–53, 56–57. "Democracy has no clear answer for the mindless operation of bureaucratic and technological power. We may indeed be witnessing its extension in the form of artificial intelligence and robotics. Likewise, after decades of dire warning, the environmental problem remains fundamentally unaddressed.... Bureaucratic overreach and environmental catastrophe are precisely the kinds of slow-moving existential challenges that democracies deal with very badly.... Finally, there is the threat du jour: corporations and the technologies they promote." (pp. 56–57.)
API4AI is cloud-native computer vision & AI platform for startups, enterprises and individual developers. This repository contains sample mini apps that utilizes Cars Image Background Removal API provided by API4AI.
rasenganai
Using AI based approach to detect illegal parking of vehicles (Cars) from an image. The model will receive an image of parked car through the user of the app , then it will try to predict the status of parking based on the background details (Traffic Signs , Crowded (market) area, Open field, Traffic , On road , number of side cars etc. ). It will do the prediction for each car that is present in the image.
Chester-King
The objective of the project is to run AI on the edge on CCTV camera at home looking over the driveway and the Android application can show you the status of the number of Cars or People present at the driveway in realtime. On the base level the camera uses the Optimized model to detect the number of cars and people present in the driveway and then if there is any change in the number of cars or people it updates the change to the cloud database. The android app picks up the changes in the cloud database in realtime and thus updates it on the app.
onurozler
Turkish/English Voice Controlled, Augmented Reality Car Showroom App. Made with Unity,Vuforia and Wit.ai.
dreasgrech
An app for Assetto Corsa which alters the AI cars' behaviour to act like humans driving during a track day aware of other cars around them.
elroir
App for managing car repair shops assisted with AI
Chatbots in Tourism Hospitality Industry: The future of chatbot is here; this technology has recently witnessed rapid diffusion in many sectors. Basic versions of chatbots are currently utilized, which usually start conversations with easy automated options for patrons and offer basic services like ordering or booking. However, fully functional chatbots that will be ready to replace customer service personnel will likely become more widespread by 2020, with AI bots powering 85% of all customer service interactions. Chatbots have the potential to assist the tourism industry in many ways – Chatbots in Tourism Hospitality Industry For any industry, accessibility to the company’s offerings is vital to the customer in both the pre-sale and therefore the post-sale process. Now, as more and more people are using instant messaging services like Facebook Messenger and WhatsApp, this simple use is often further enhanced by a company’s offering all of its services where consumers are afore chatting with their friends. Performing common administrative and menial tasks through chatbots, like scheduling appointments, setting reminders, booking tickets, and sharing traffic or weather updates, is very valued. Although there are some potential pitfalls, discussed later, the potential of chatbots in diverse sectors of the tourism industry is gigantic. Hotels, restaurants, hire car services, travel agencies, and tourist information centers can all enjoy this technology. The hotel industry can particularly enjoy the direct application of chatbots. Increasing the share of online bookings impacts sales growth, confirming the value of the hotel chatbot. Expedia took advantage of Facebook’s technology to launch a basic bot to assist travelers book hotels. Marriott Hotels also introduced a chatbot service to supply basic services like booking an area over chat, utilizing the Facebook chatbot interface. Chatbots are often particularly helpful in enriching the prearrival experience, allowing users to book rooms and other amenities, like: Spa Treatments Airport transfers Dinner Reservations Chatbots in the Hotel Industry A bot that interacts with guests in the least stages of the customer journey can gather valuable data, which algorithms and hotel staff alike can then use to supply personalized services. The direct application of chatbots within the restaurant business is often very impactful also. Restaurants and nutriment giants like Burger King, Pizza Hut, and Dominos have followed suit with their proprietary chatbots. Soon placing delivery orders over the phone is going to be obsolete; customers will do that through Facebook, WhatsApp, or other social networking sites. Chatbots will eventually accept payments as well; MasterCard already provides such services through its Masterpass app. Chatbots in the Restaurants Positioning chatbots can decrease costs for both customers and firms. Customers don’t get to call, which reduces their communication expenditures, and corporations will not get to hire customer service representatives or outsource answering services to a call center facility. The advantages aren’t limited to the ordering and delivery processes. Other possible chatbot benefits highlights include allowing customers to perform subsequent tasks without having to download mobile apps: Observe and survey restaurant reviews, menus, prices, and available tables Control restaurant reservations on the go, change, cancel, or re-book tables Search and find restaurants consistent with party size, date, time, preferred cuisine, price, or distance. Chatbots in the Airline Industry – Chatbots in Tourism Hospitality Industry Customer service within the airline industry is one of the primary areas that would enjoy chatbots as a result of the high volume of customer contact through inquiries and bookings. an honest customer service bot could economize by automating tasks and unclogging call centers. It might help consumers find suitable flight options by meeting information like time, date, and other preferences. It could help on the wing booking, saving customers the difficulty of visiting the airline’s website and entering page after page of data. It could give status updates about flights, like information about delays or cancellations. It could also provide digital boarding passes, a service Turkish Airlines has begun to provide; offer baggage information; and gather feedback. it’s reported that its introduction has recorded an enormous surge in online booking. Chatbot Challenges Although AI and chatbots have created excitement within the tourism and hospitality industry, many concerns and problems can affect their adoption. The media’s portrayal of AI as being capable of handling much of the tasks within the tourism and hospitality industry is sometimes overrated. the push toward chatbots is partly thanks to the recognition of several new messaging services. The testing with chatbot adoption involves technical issues, cost, culture, and organization size. one among the foremost significant technical issues in language processing. Chatbots still commonly struggle with lexical and semantic ambiguity. We have study the role of chatbots in several areas of the tourism and hospitality industry. This is often the age of chatbots. As an information-intensive industry, firms that lead in its early adoption are set to experience first-mover advantage, that is, the benefit gained by being the primary to launch a service. The interlinked nature of the tourism industry will subject industry laggards into undue pressures, which can not be favorable to their strategic directions at that point. So, the time to plan is now!
Anujpandey12345
Click For Live ⤵️
VamshiSai-Perumandla
Unveil the future of mobility with our Self Driving Car Simulator, powered by AI and the Webots app. Explore interactive scenarios where vehicles navigate through dynamic obstacles, demonstrating advanced object recognition and lane management. Dive into a world where technology meets practicality, shaping tomorrow's transportation.
AnbuKumar-maker
This project is all about controlling a Robotic Car in a different way through the various devices, or by different means of controlling like voice command, mouse, keyboard, or mobile touch screen. Or by different platforms like a webpage, mobile app, and even though today's digital Assistant like 'Google Assistant'. When you say start robot it starts moving in a forwarding direction, when you say move left it starts moving in the left direction, When you say move Right it starts moving in the Right direction, When you say move backward it starts moving in a Backward direction, When you say stop it will be stoped. It is a simple example of the coming day of smart IoT, AI, and ML-enabled Vehicles. In these types of vehicles, there is no need for a driver to drive a car. These type of cars are self controllable with the help of new technology like 5G and IoT. These types of cars can make good use of Sensor data to detect Traffic other vehicles, Objects, Humans in their surroundings and is also capable of interact with other roadside vehicles to make a good decision for its preferred and the best route which are helpful in making driving hassle-free.
SpringBoardMentor193s
The Car Lease or Loan Contract Review and Negotiation App is an AI-driven mobile application designed to assist consumers in understanding, reviewing, and negotiating their car lease or loan contracts. The application leverages Large Language Models (LLMs) for SLA (Service Level Agreement) extraction, identifies key contract terms.
mhossain11
This is an AI based car problem solution app.
AvinashCreates
Ai career guidance application designed using Streamlit framework and google gemini 2.5 pro api key responses
Rodgers-Abraham
The AI Career Coach is a full-stack web application designed to bridge the gap between education and employment for Kenyan students. It uses Google Gemini AI to provide personalized career advice and connects users to real-time job listings via the JSearch .
Quercy-tech
iOS app for car enthusiasts with crafted built-in AI chatbot
sabrinachowdhuryoshin
This GitHub project demonstrates machine learning and computer vision techniques to enable self-driving cars. This application is a demonstration of how artificial intelligence can be utilized in the field of autonomous vehicles.
ZeroCipherX
Car Price Predictor: A Django web app utilizing AI linear regression to estimate the selling price of used cars based on key features.
khoaguin
An AI-powered Used Car Selling Store App Written in the FASM Stack (FastAPI, Svelte and MongoDB)
ben564885
Spotted — AI-powered car spotting app to identify, share, and track exotic vehicles with a community of enthusiasts.
suranabhavya
It is a professional Car Showroom App based on Augmented reality with voice commands. This is the fusion between the latest Augmented Reality technology from Vuforia, the Unity game engine and a voice controlled cloud based machine learning AI.
Atharva-Chaudhari123
CarAssist is an Android-Auto app that enables users to use Gemini inside their DHU's f https://car-assist-ai-web-page.vercel.app/
vikesh3640
A full-stack AI-powered car marketplace built with Next.js, Supabase, Tailwind CSS, Prisma, ArcJet, and Shadcn UI. Features include secure auth, car listing management, AI-based image handling, and a modern responsive UI—ideal as a scalable foundation for smart marketplace apps.
Pjcter
An AWS web app provisioned by Terraform. Uses AWS Rekognition AI to count the number of cars on the road in a given livestream.
code-techhb
CarBuddy is an AI-powered web app designed to help car owners easily manage and maintain their vehicles by offering personalized tips, reminders, and tracking tools.
kaaneneskpc
F1 Setup Instructor is an advanced Android application designed to help F1 game enthusiasts and sim racers find the perfect car setup for any track and weather condition. Powered by AI, the app provides personalized setup recommendations, maintains a history of your setups, and offers an interactive chatbot for real-time assistance.
michaelPro89
AI Car Ownership App - "SmartCar Buddy". Core AI Features : 1. Maintenance Assistant 2. Document Management 3. Fuel Efficiency Coach. 4. Chat Assistant.
Saulgf115
This is a project developed in Unity to Test an Augmented Reality App for sale a Car using AI with Wit Ai
SIVASHANKAR-S
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