Mention Seeker

Our client required a multifunctional web application to perform a complex market analysis and provide the results to a user in a convenient form with a lot of visualization and filtering options. The results presented as various types of charts and tables show the company’s position on the market in relation to its competitors. The market analysis is performed using AI and ML technologies and is based on various sources, including mentions in Youtube videos, tweets, job vacancy databases, or open profiles in social networks. This service attracts many clients, including individual analysts, analytics agencies, medium and small businesses, as well as large corporations. That's why the application is a highly profitable SaaS product.

This Business Intelligence solution collects and analyzes mentions about target companies and outputs the comprehensive report that can be used to monitor the company’s status on the market and develop its business strategy. The analysis results may also include data on the company’s competitors to show a more detailed picture of the market and to allow result comparison. For better clarity and convenience, we implemented a system of information cards and an automatically generated dashboard that can be customized by the user to display only the required set of filtered information. So, for our client, this solution is an excellent instrument of selling analysis services and a source of significant income.

The software uses AI and ML algorithms to perform complex searching with maximum efficiency and relevance. To enable this functionality, the backend is developed using Python and Django with several additional libraries. The analysis results are displayed to users as radar charts, line charts, grouped bar charts, and other visual forms with several filters to customize the output data from the user dashboard. For this reason, Angular was the perfect choice for frontend development. In order to collect, process, and store large volumes of data, the solution also uses ElasticSearch and several similar technologies. To increase security, user passwords are additionally protected using AWS Secrets Manager.