working on an AI chatbox that help teach programming to newbies by providing templates, solutions, guidance and periodical evaluation of each students
AiHello uses Machine Learning to analyze existing inventory,past product sales and competitor information to help sellers optimize their inventory for better sales by geography.
Online ecommerce is $2 trillion dollars industry and growing in double digits but it is incredibly fragmented - There are 12 million ecommerce sites globally including Amazon, Ebay, FlipKart, Independent Shopify & Woocommerce sites etc. An online retailer faces multiple challenges and decisions starting up and most of the decisions made are either by guessing or gut feeling. The retailer also spends huge amount of money trying to market his products online & price his product correctly.
Inventory overhead costs are roughly 25% of the product while marketing especially for new sellers far exceeds the cost of the product.
Online e-commerce, in spite of being a trillion dollar industry, is just 6% of global retail industry and these problems will be magnified with the passage of time as ecommerce catches up with retail.
Our technology addresses these problems by 1) Inventory management AiHello manages your inventory across channels. The system can be used to list a product on any one channel or a combination of channels. A retailer selling on one channel can push his products to other channels in a click.
2) Optimizing inventory: AiHello uses deep learning to optimize your inventory by geography. Using its pre-existing knowledge of similar products combined with current inventory & sales , AiHello can optimize the price of a product depending on the channel and location of selling. The system will also suggest the best channel and the geo-location to target your product for maximum success
There is efficiency in learning when humans are not involved. The whole process is extremely cheap and the system learns and becomes smarter as time progresses.
We help to keep the startup business costs low, streamlined and extremely efficient.
Our pitch deck is at : https://1drv.ms/p/s!Am-DHg55IDBMgQfKvewouOFju_ms
You can reach us at https://www.aihello.com
Smart City Air Monitor uses air quality sensor attaching to the vehicle to monitor the air quality through out the city. This idea originally came from Pigeon Air Patrol, where they use pigeon to monitor air quality in London. We believe that using our own cars would have much better results. A pubnub will be sending push notifications for those who enters the polluted areas. It would provide 3 major benefits
1) For the drivers, they can now avoid heavily polluted areas and find alternative routes, it also allows them to monitor pollution during time of the day.
2) The drivers now are also providing the air quality data to the city so that everyone else can plan their days around it.
3) The city now knows where the most heavily polluted areas are, so that they can install air filters, trees, or simply signs to warn other citizens the general air quality around that area.
I'm a researcher who's PhD is in the area of Digital Actors (mainly for videogames/interactive storytelling). So I'm looking at technology that will help drive advances in Digital Actor behavior and production.
Currently working on an Augmented IOT solution that involves AI
Car Breathalyzer System intergrated with facial and speech recognition
I would like to develop an AI that will teach students in Rural Niger-Delta of Nigeria (precisely in Emu Kingdom) where there are not enough teachers to teach them certain subjects. This will involve culture conducive AI tools and delivery.
My name is Filip and I recently started my amazing adventure with artificial intelligence and I am loving it! I have lots of ideas for making life easier or at least more amazing and breathtaking. My main goals are to make AI's for medical purposes like identifying tumors, etc. Automated self driving cars, face identification and more. Also I am hobbyist game developer and in this area, there are lots of things to push AI into. At the moment I am working on a program which can identify a brain tumors from MRI's photos. I am super excited for working in AI area and hope that I am going to achieve these goals.
Have a nice day guys and I wish you good luck with your projects.
I'm learning and trying to develop my own idea to solve lot of real world problems existing in IOT space(This may be for a Person, Business, NGO etc...). I'm looking to aware what best practices available already to share up my idea and collaborate like minded engineers to discuss various ideas to brings it next level as every day progress.
Project uses DJI mobile sdk to interpret the video stream coming from the DJI drone. OpenCv is used to process the frames and send the results to a google map. Project also includes flying a waypoint missions and FPV flying.
I'm currently working on a project called DoorBell. This is a IoT virtual door bell that sends respose as an email or sms if someone knocks the door. Also it can send the picture of the person standing behind the door.
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