A machine learning–based placement prediction model that analyzes student IQ and CGPA to determine placement likelihood. The system applies supervised classification techniques and demonstrates end-to-end ML workflow including data preprocessing, model training, evaluation, and prediction.

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This Placement Prediction & Readiness System is an interactive application that helps students evaluate their placement chances, estimate expected salaries, analyze missed opportunities, and assess resume effectiveness using ATS scoring. It also forecasts placement trends for the next five years.

Application mobile et API Flask pour reconnaître des lieux touristiques marocains à partir d’images. Modèle CNN pour classification, frontend React Native, backend Python. Projet open-source pour faciliter la découverte des sites du Maroc via IA.

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