momentum.ai is a mental wellbeing web application centered on personal growth, both individually and through meaningful connections with others. By combining AI guidance, physical activity, and task completion, momentum.ai creates a holistic system that helps users build healthier habits, stay motivated, and feel more in control of their lives. Whether someone is looking to improve their mental health or maintain it, momentum.ai provides a structured yet engaging experience.
momentum.ai uses AI-powered motion recognition to track exercises such as push-ups and curl-ups, whether performed individually or with others on a Local Area Network (LAN). Users can easily create or join lobbies using simple codes, making it seamless to work out together. The platform enhances this experience with real-time voice chat and a live leaderboard, allowing users to compete, encourage one another, and stay motivated. This combination transforms exercise into a social and engaging activity rather than a solitary task.
momentum.ai’s AI system acts as a mentor, helping users break down complex or overwhelming tasks into manageable steps. By analyzing inputs—whether text, images, or video—the AI provides structured guidance tailored to the user’s needs. The more context users provide, the more precise and helpful the recommendations become. This allows users to approach challenges with clarity and confidence, reducing stress and increasing productivity.
momentum.ai improves wellbeing by combining social interaction, physical activity, and smart task guidance. Voice chat and friend leaderboards make self-improvement more engaging and collaborative. Exercise supports mental health by reducing stress, anxiety, and depression while boosting mood and focus. Completing tasks builds confidence, lowers stress, and reinforces motivation through a sense of accomplishment.
Frontend: Next.js
Storage/Database: Convex and Upstash Redis
Authentication: Clerk
Motion Recognition: Mediapipe
AI Companion: GPT 5.4 Nano
Voice Chat SDK: Agora
Seamless LAN-based lobby creation and joining
Real-time repetition tracking across users
Reliable, low-latency voice communication
Integrated AI-driven task assistance
One of the biggest challenges was implementing accurate motion detection. Integrating MediaPipe with our existing frontend required careful coordination to ensure real-time responsiveness and reliability. Achieving smooth, seamless interaction between the motion recognition system and the user interface was critical—and ultimately one of the most rewarding aspects of development.