Ismail Essagar

Built a Python and NodeJs-based monitoring system to ensure data quality, integrity, and persistence from diverse sources (Excel, JSON, CSV, ElasticSearch). Automated processing with Docker, anomaly detection, Power BI dashboards (24+ visuals), and predictive modeling.

During my final-year internship, I accomplished the following tasks: Researched databases and annotated emotions using Ekman and VAD scales. Improved the performance of existing models. Conducted an in-depth exploration of dictionaries for text analysis with the aim of integrating deep learning into the process.

Developed an NLP project focused on improving spelling and grammar correction leveraging the state-of-the-art Transformer T5 model with Python.

Creation of an intelligent chatbot using RNN for the company Architeo, in order to make them interact with their customers in an efficient and optimal way without consuming a lot of human resources and budget, the chatbot can register applications , customer requests for a service and make an appointment. The chatbot also supports voice messages.

Collect, clean, analyze and train data from Indian airlines, to predict the price of air tickets for each of the classes (Business Class, Premium Economy and Economy), as well as the optimal time to buy a ticket.

This internship was under the theme "Building a fleet management application using CodeIgniter and MySQL”