Computer Vision Meets AI

                                                             CON 2018

Con 2018 is built with the intention to talk to the system and get smart recommendations based on your personality type. An intelligent conversational platform uses text mining to recommend clothing and keeps you updated on the fashion trends in the industry. We try to make the conversations as human as possible to create a unique experience to the user. If you are still confused think of it as SIRI or Alexa giving you smart fashion recommendations.

The platform is open to more applicational change, keeping in mind a compelling argument in our brainstorming sessions. They are one competitor now as to my knowledge which is mode.ai. It is a new space to explore psychology and text mining and use HCI techniques in building the platform. Ideally Android platform used to build.

Ideal Project Partner – Keen Interest in Artificial Intelligence, Java proficient, Text mining using Python. 

                                                                     CalCom

Calcom is a service for guided meditation and mindfulness. It has other features including to listening to study music, sleep feature and yoga classes online. People suffer stress every day and make unconscious decisions in work and personal life. This is curated to those people who wants to take care of their mental and physical health.

Calm, meditate, healthics are some of the competitors. This is a free service initially and gives you smart notifications throughout your day. Ideally built for iPhone application.

Technology – Python, Java and keen interest in unsupervised machine learning. 

                                                                  Vision 2020

Search What You See:
The idea is to redefine shopping experience in a visual and personalized way. Vision 2020 allows users to custom search engine based on their personality and trends in the fashion world. Users can upload any image or click live image and see fashion recommendations based on the input. Users can save time to discover smart clothing recommendations and get what they want in a cheaper rate.

They are competitors in this space, one being mode.ai and slyce.it. The difference is we use social media API’s to get to know the customer personally and make it a seamless and timeless experience. Based on the data e-commerce purchases in USA are 80% mobile and 20% desktop websites. Our goal is to create an iPhone application using HCI techniques and make the customer journey more reliable and intuitive.

Ideal Project Partner – Keen interest in Computer Vision, Python proficient, Personalized mental models.