Alzheimer’s disease is a brain disorder that weakens thinking and memory abilities gradually, making it difficult for patients to recognize friends, family, and relatives. Patients may have difficulty using existing applications that help them identify their loved ones as the disease progresses. To address this issue, in this paper, an intelligent assistant for Alzheimer’s patients and their carers named “Memory Lane” is proposed. Memory Lane works in four phases: (1) An offline speech recognition system. (2) A transformer-based intent classification model. (3) A CNN architecture that generates face embedding to compare L2 distance with existing stored embeddings for face recognition. (4) A module that retrieves information from MongoDB and uses TTS for communication. Overall, the proposed assistant, Memory Lane, has the potential to be a valuable tool in assisting Alzheimer’s patients and their carers in improving the quality of life.