SentiraAI: An Integrated Framework for Real-Time Sentiment Analysis and Cognitive Behavioral Support

In recent years, the growing awareness of mental health and emotional well-being has highlighted the need for accessible, technology-driven support systems that can assist individuals in understanding and managing their emotions. Sentira is a web-based emotion-aware application developed with the objective of combining affective computing and conversational artificial intelligence to provide emotional awareness and mental well-being support in an interactive and user-friendly manner. The system focuses on detecting human emotions through facial expressions and enabling emotionally responsive interaction through a chatbot interface. The application employs camera-based facial emotion recognition to identify common emotional states such as happiness, sadness, anger, neutrality, and surprise. These emotions are analyzed in real time and presented visually to the user using confidence bars and expressive emojis, allowing users to gain immediate insight into their emotional state. This visual representation enhances transparency and improves user engagement by making emotion analysis easy to interpret, even for non-technical users. The emotion detection feature is designed to function seamlessly within a web environment, emphasizing responsiveness and accessibility. In addition to emotion detection, Sentira incorporates an intelligent chatbot designed to interact with users in a supportive and empathetic manner. The chatbot processes user input and generates emotion-sensitive responses along with motivational or reflective quotations sourced from well-known thinkers and authors. This feature aims to provide emotional reassurance, encouragement, and positive reinforcement, thereby extending the system’s role beyond simple emotion classification to emotional support and engagement. The chatbot acts as a conversational companion that encourages users to express their thoughts and feelings in a safe, non-judgmental digital space. From a technical perspective, Sentira is implemented using a modular frontend–backend architecture based on modern web technologies. The backend manages API communication, request validation, and structured data handling, while the frontend delivers an interactive and visually intuitive user experience. The system design emphasizes maintainability, scalability, and clean separation of concerns, making it suitable for further enhancements such as persistent storage, advanced emotion models, or extended conversational intelligence