Nioyatech

Smart Matching Tool

Brings The Hands Together

Smart Matching Tool is an artificial intelligence (AI)-based program that matches mentors with mentees.


SMT smartly pairs newly arrived third country nationals (TCNs or newcomers) with the volunteered members of the local community in order to help them overcome the daily life difficulties and challenges at the early stages of their integration process.

SMT provides;

SMT Application High caliber NLP semantic similarity approach which assists matching process and saves hours of time when compared to conventional approaches.

SMT ApplicationPredicted relationship success percentage between the two parties.

SMT ApplicationRanked suggestions based on the match preferences.

Welcome Application

SMT Use Cases

Education

SMT can match talented scholars with students, introduce expert mentors from various professional fields to universities, schools, corporate training, and in other educational venues.

Governmental Bodies or Municipalities:

SMT can help to cross-reference talents and skills within projects or tasks in any programs or events by applying a semantic similarity approach.

Social Programs:

SMT can help;

  • to find the perfect fit for singles with high quality matching in the dating business.
  • to find travel partners or housing partners.
  • to match the landlords with tenants.

SMT Application

App Features

01
Gathering Data

All available and relevant data

02
Preparing Data

Transferring the raw data for AI model

03
Model Implementation

Choosing the most suitable model

04
Model Training

ML Algorithms

05
Evaluation

Testing against the real world

06
Model Deployment

via ML Ops pipeline on the cloud

Success With SMT

SMT Application

Reduce Risk

Find details of activities in the city

Improve Efficiencies

Use the app in several different languages

Use Data

by Local Authorities

Screenshots

SMT Application
SMT Application
Request Demo
EU This project has received funding from the European Union's Asylum Migration and Integration Fund (AMIF) under grant agreement No:957978