AI and Machine Learning Applied Projects

BSE 324
Fermé
Chronologie
  • mars 8, 2025
    Début de expérience
  • mai 24, 2025
    Fin de expérience
Expérience
2/2 match de projet
Dates fixées par le expérience
Entreprises privilégiées
N'importe où
Startup, Incubator, Large enterprise, Small to medium enterprise
N'importe qu'elle industrie

Portée de Expérience

Catégories
Développement de logiciels Apprentissage automatique Intelligence artificielle Visualisation des données Data science
Compétences
algorithms machine learning algorithms machine learning chatbot text mining natural language processing (nlp) artificial intelligence data visualization data analysis
Objectifs et capacités de apprenant.e.s

This experience is designed for undergraduate and master's degree students who are taking courses in Machine Learning and Artificial Intelligence. These learners have acquired foundational ML algorithms, data analysis, and model development. They are equipped to apply their knowledge to real-world projects, offering innovative solutions and insights. Students can bridge the gap between theoretical understanding and industry application by engaging in practical projects and enhancing their problem-solving and technical skills.

Apprenant.e.s

Apprenant.e.s
Premier cycle universitaire
Niveau Débutant, Intermédiaire
30 apprenant.e.s dans le programme
Projet
30 heures par apprenant.e.s
Les Pédagogues affectent les apprenant.e.s à des projets
Équipes de 3
Résultats et livrables attendus
  • Development of a predictive model using machine learning algorithms
  • Creation of a data visualization dashboard to present AI insights
  • Implementation of a natural language processing tool for text analysis
  • Design of a recommendation system based on user data
  • Prototype of an AI-driven chatbot for customer service or office assistance
Chronologie du projet
  • mars 8, 2025
    Début de expérience
  • mai 24, 2025
    Fin de expérience

Exemples de projets

Exigances
  • Develop a predictive for disease diagnosis
  • Create a sentiment analysis tool for social media platforms
  • Implement a fraud detection system for financial transactions
  • Build a machine learning model to optimize supply chain logistics
  • Develop an AI-based image recognition system for quality control
  • Create a chatbot to assist with customer inquiries in a retail setting
  • Design a predictive analytics tool for healthcare patient outcomes

Critères supplé mentaires pour entreprise

Les entreprises doivent répondre aux questions suivantes pour soumettre une demande de jumelage pour cette expérience:

  • Q1 - Texte long
    Are there any specific resources or support that learners will need to complete the project successfully?  *
  • Q2 - Texte long
    Have you worked with learners or interns before? If so, what was your experience?  *
  • Q3 - Texte long
    Do you provide data and other resources for the project?