Alzheimer’s disease is a progressive illness that affects more than 5.5 million people in the United States with no effective cure or treatment. Symptoms of the disease include declines in memory and speech abilities and increases in aggression and insomnia. Recent research suggests that NLP techniques can detect early cognitive decline as well as monitor the rate of decline over time. The processed data can be used in a smart home environment to enhance the level of home care for Alzheimer’s patients. This paper proposes early-stage research in software engineering and natural language processing for quantifying and evaluating the patient’s cognitive state to determine the required level of support in a smart home.