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MANEL's Projects

ai-spam-classifier icon ai-spam-classifier

A SPAM classifier developed in Python, utilizing Machine Learning and Deep Learning algorithms like SVM, KNN, Logistic Regression, Neural Networks, Naive Bayes, and LSTM.

computer-vision-dodge-game icon computer-vision-dodge-game

A university project consisting of two parts: the first part focuses on implementing various image processing filters and color-based object detection algorithms using Python and OpenCV. The second part involves the development of a dodge game enhanced with real-time object detection for player control.

datamining-project icon datamining-project

A university project that aims to explore various data mining techniques like Data Exploration, Association Rule Mining, Supervised and Unsupervised Learning, applied to real-world datasets, focusing on soil fertility analysis and COVID-19 cases evolution over time.

indoor-plants-recommendation-expert-system icon indoor-plants-recommendation-expert-system

An indoor plant recommendation system built using React.js and Node.js. The system leverages expert systems and multi-agent systems to provide personalized recommendations for indoor plants based on user preferences and environmental factors.

intelligent-information-retrieval-system icon intelligent-information-retrieval-system

An implementation of an Information Retrieval System that indexes documents and matches queries using vector space models (Jaccard, Cosine, Scalar), boolean model, and probabilistic model (BM25).

jade-multiagents-auction-system icon jade-multiagents-auction-system

This project implements a multi-agent auction platform using JADE framework. It simulates decentralized auctions where buyers autonomously submit proposals and sellers manage bids to select winning offers.

n-queens-solver icon n-queens-solver

A Java implementation of solving the N-Queens problem using various search algorithms, including BFS, DFS, A* with different heuristics, genetic algorithm, and particle swarm optimization PSO. The project utilizes Java and JavaFX for the user interface.

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