Infact.ai

Development

ai based application

Development

AI and Machine Learning Has Helped many applications to deliver services which was not possible before,

for example spotify recommendation system could deliver personilized songs based on your interests which helped spotify gain 30 of its overal customers from this personlied experience. [Stifel Research, Spotify Initiation of Coverage, April 5, 2018]

AI could help you in many other sectors and could broaden your abbilities.

Our Expertise

InFact development team consists of  talented developers, experienced in AI, Web and Mobile Development:

AI-Model Development

InFact Could Develop AI-Model In Following Task:

Recommendation
Recommendation Model for Text, Image

NLP
Different NLP tasks including Text Categorization, Topic Modeling, Profanity Detection, Text Generation

Image Processing
Different Tasks Including Object Detection, Segmentation, Scene Understanding, Face Detection, Nudity Detection



Mobile Application Development

InFact Team is experienced in following languages and frameworks for Mobile Development:

Native Android: java, kotlin

Native ios: swift, objectiveC

Cross platform: ReactNative, Xamarin, PhoneGap, Ionic,

Framework7, OnsenUI

Deployment: Firebase, Appsee

Web Development

InFact Team is experienced in following languages and frameworks Web Development

Database: MangoDB, Sqllite, PostgreSQL, MySQL, Cassandra, Neo4j Cache: Redis, Varnish

Web server: Nginx, Apache Server, TICK Stack (Telegraf/InfluxDB/Chronograf/Kapacitor), Apache TomCat, Apache Kafka, RabbitMQ

Web framework:

– NodeJS: ExpressJS, Meteor, Keystone

– Go: Revel, Buffalo, Iris

– Java: JSF, Struts, GWT, Vaadin, Spring Stack

– Python: Django, Flask, Tornado, Pyramid

– Ruby: Ruby on Rails, Sinatra, Padrino

Testing: apache JMeter, Selenium, Katalon

CI/CD: Jenkins, GitLab

UI: Bootstrap, Foundation, Semantic, jQuery Mobile

JS: AngularJS, EmberJS, VueJS, ReactJS

CSS: Sass, Less

Portfolio

Maan

Maan is a news and entertainment application aggregating content from social media platforms and popular web sites and based on the users’ interest, it presents them.

Features

In Mann application we crawl items from social media platform such as Twitter and Instagram, and websites like BBC.com and theverge.com and present them to users.

For creating the best user experience we developed 4 main AI modules:

Recommendation Model

Maan is a news and entertainment application aggregating content from social media platforms and popular web sites and based on the users’ interest, it presents them.


Text Categorization

We categorize items in several categories via our Text Classification and Topic Modeling Deep Learning algorithm.

Trending Item Prediction

Based on each item's publisher and content, We predict whether this item is going to be trending or not.

nudity

Detect Profanity and Nudity

Items including Profanities and Nudity are filtered before presented in application.

Mann

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