**Project Title:** Personalized Recommendation System Using Collaborative Filtering and Deep Learning **Project Description:** I am looking for an experienced AI,ML,DL developer to build a personalized recommendation system using collaborative filtering and deep learning techniques. The system should analyze user–item interaction data and generate personalized recommendations for users. **Project Objectives:** * Develop a recommendation model using collaborative filtering. * Integrate deep learning techniques (such as Neural Collaborative Filtering). * Improve recommendation accuracy by capturing complex user–item relationships. * Generate Top-N personalized recommendations. **Scope of Work:** 1. Data preprocessing and creation of a user–item interaction matrix. 2. Implementation of collaborative filtering methods. 3. Development of a deep learning model for recommendation (e.g., neural network–based recommender). 4. Model training and evaluation using appropriate metrics. 5. Comparison with traditional recommendation approaches. 6. Visualization of results and performance metrics. **Expected Deliverables:** * Fully working Python implementation. * Well-structured code with comments. * Documentation explaining the methodology and architecture. * Evaluation results using metrics such as RMSE, Precision, Recall, or F1-score. * A short report explaining the system design and results. Dataset you have to find on your own Project Type: Academic / Research Project