Smart Menstrual & PCOS Health Assistant

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  these all are current facilities provided by our website

Women often struggle with irregular periods, PCOS symptoms, mood changes, and lack of personalized healthcare guidance. We wanted to create an AI-powered solution that makes menstrual and hormonal health tracking smarter, accessible, and supportive.

The platform helps users track menstrual cycles, monitor PCOS symptoms, analyze moods and lifestyle patterns, and receive AI-based health insights, wellness tips, and personalized recommendations through an interactive dashboard and chatbot.

We built the frontend using React and Tailwind CSS for a modern user experience, while the backend was developed using Node.js and MongoDB. AI-based prediction and analysis features were integrated using Python and machine learning models.

We faced challenges in designing accurate prediction logic, handling health-related data securely, integrating AI features smoothly, and creating a simple yet informative user interface for users.

We successfully developed a working AI-powered healthcare assistant with cycle tracking, symptom analysis, personalized recommendations, and an intuitive UI focused on women’s wellness and accessibility.

We learned about AI integration in healthcare, user-centered design, data analysis, teamwork, API integration, and the importance of building technology that solves real-world problems with social impact.

We plan to add wearable device integration, multilingual support, doctor consultation features, advanced PCOS risk prediction, voice-based emotional analysis, and stronger AI-driven personalization for healthcare insights.

please note- the given link is for trial and demo overview for this idea overall working prototype is done but the link provided is for context understanding and demo prototype link

Built With

• css
• express.js
• javascript
• mongodb
• node.js
• react
• tailwindcss