UBBA Repository

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Plateforme intelligente de soutien psychologique et de thérapie en ligne basée sur l’intelligence artificielle

(University of Mohamed El Bachir El Ibrahimi - Bordj Bou Arréridj, 2026) Maroua OUCHENE; Yamina DAHMOUNI; Nour Elhouda TAKOUK

Mental health constitutes a major public health challenge today, particularly in Algeria, where the shortage of specialists, high consultation costs, and social stigma limit access to care. Developed within the framework of a start-up project affiliated with the incubator of the University of Bordj Bou Arréridj, this thesis presents the design and implementation of INSAT, an intelligent hybrid clinical decision support platform dedicated to mental health. The existing systems review revealed that current solutions are limited to teleconsultation, lacking decision-support-oriented artificial intelligence or integration with physical clinics. In response, INSAT combines accessible digital support, AI to assist psychotherapists, and continuity with physical healthcare structures. Following an analysis and design phase based on the UML language, the platform was developed using React, FastAPI, and PostgreSQL hosted on Neon. It integrates a 24/7 multilingual companion chatbot, a diagnostic aid module powered by the CatBoost model, a therapeutic recommendation engine, and a structured electronic medical record (EMR). Validated through a rigorous testing process, the solution preserves the human dimension of care, with AI serving as an assistive tool rather than a substitute for the professional.

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Plateforme intelligente d'analyse des symptômes pour le diagnostic préliminaire des maladies basé sur l’IA

(University of Mohamed El Bachir El Ibrahimi - Bordj Bou Arréridj, 2026) * LOUNICI DOUNIA * BOUGEURRA HADIL; * BOUGEURRA HADIL

This work presents MediAssist Pro, an intelligent web-based medical platform designed to improve the organization of medical work and support preliminary diagnosis. The application centralizes patient records, consultations, prescriptions, medical analysis requests and scanned results in one system. It provides role-based access for the administrator, doctor and medical secretary, ensuring that each user can access only the functions related to their responsibilities. The doctor can enter symptoms by text or voice, view the patient’s medical history and launch an artificial intelligence analysis. The system suggests possible diagnostic indications and useful recommendations, while the final medical decision remains the responsibility of the doctor. MediAssist Pro also makes it possible to generate prescriptions in PDF format and to import scanned analysis results, which can be summarized and interpreted cautiously by the AI module. The platform does not aim to replace healthcare professionals, but to provide a practical support tool that saves time, improves traceability and assists medical decision-making

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INSAT : Plateforme intelligente de soutien psychologique et de thérapie en ligne basée sur l’intelligence artificielle

(university of bordj bou arreridj, 2026) Maroua OUCHENE; Yamina DAHMOUNI; Nour Elhouda TAKOUK

Mental health constitutes a major public health challenge today, particularly in Algeria, where the shortage of specialists, high consultation costs, and social stigma limit access to care. Developed within the framework of a start-up project affiliated with the incubator of the University of Bordj Bou Arréridj, this thesis presents the design and implementation of INSAT, an intelligent hybrid clinical decision support platform dedicated to mental health. The existing systems review revealed that current solutions are limited to teleconsultation, lacking decision-support-oriented artificial intelligence or integration with physical clinics. In response, INSAT combines accessible digital support, AI to assist psychotherapists, and continuity with physical healthcare structures. Following an analysis and design phase based on the UML language, the platform was developed using React, FastAPI, and PostgreSQL hosted on Neon. It integrates a 24/7 multilingual companion chatbot, a diagnostic aid module powered by the CatBoost model, a therapeutic recommendation engine, and a structured electronic medical record (EMR). Validated through a rigorous testing process, the solution preserves the human dimension of care, with AI serving as an assistive tool rather than a substitute for the professional

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Plateforme intelligente d'analyse des symptômes pour le diagnostic préliminaire des maladies basé sur l’IA

(university of bordj bou arreridj, 2026) LOUNICI DOUNIA; BOUGEURRA HADIL

This work presents MediAssist Pro, an intelligent web-based medical platform designed to improve the organization of medical work and support preliminary diagnosis. The application centralizes patient records, consultations, prescriptions, medical analysis requests and scanned results in one system. It provides role-based access for the administrator, doctor and medical secretary, ensuring that each user can access only the functions related to their responsibilities. The doctor can enter symptoms by text or voice, view the patient’s medical history and launch an artificial intelligence analysis. The system suggests possible diagnostic indications and useful recommendations, while the final medical decision remains the responsibility of the doctor. MediAssist Pro also makes it possible to generate prescriptions in PDF format and to import scanned analysis results, which can be summarized and interpreted cautiously by the AI module. The platform does not aim to replace healthcare professionals, but to provide a practical support tool that saves time, improves traceability and assists medical decision-making.

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Design and Implementation of a Smart Real Estate Services Platform

(university of bordj bou arreridj, 2026) ROUABAH Tayeb; BOUNABI Oussama

This thesis focuses on the design and development of a web and mobile platform dedicated to real estate and smart rental services. The main objective is to provide a modern and user-friendly solution that simplifies property searching, buying, renting, and booking through advanced filtering tools and interactive map services. The platform connects property owners with potential clients in a secure and efficient environment. It supports different types of properties, including apartments, hotels, rooms, clinics, agricultural lands, and industrial spaces. Users can explore detailed property information, locate properties using maps, and communicate directly with owners through the application. In addition, the system introduces a Smart Rental feature based on smart access management. After booking confirmation, tenants can receive temporary digital access codes or QR codes that can be integrated with smart lock systems, allowing secure and remote property access. This feature improves convenience, automation, and security, especially for short-term rentals and reservation services. Overall, the proposed platform represents a modern digital solution that enhances accessibility to real estate services, simplifies property management, reduces manual operations, and improves the overall user experience

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