Mental health challenges are increasingly common, especially among engineering students aged 16–22, who often juggle intense academic pressures and personal struggles. To support these young minds, the proposed work introduces Peaceofy, a Mental Health Assistant Application designed to offer accessible, personalized, and proactive care. Peaceofy uses advanced machine learning algorithms to identify symptoms of depression and provides a user-friendly platform with features like symptom tracking, mood monitoring, self-help resources, and guidance for seeking consultation. By seamlessly integrating real-time data collection with mood tracking, the app empowers students to take charge of their mental well-being in a private and supportive environment. Early feedback shows encouraging results, with high accuracy in symptom detection and positive user experiences. Peaceofy aims to bridge the gap in mental health support for students, offering a forward-thinking approach to foster resilience and well-being in future engineers.