Objective
CareConnect aims to make basic health monitoring easier by providing instant insights and guidance. Inspired by the need for accessible health advice, it helps users stay informed about their well-being and also suggest home remedies that you can take. The goal is to offer a supportive tool for regular checkups, fitness, and mental health.
What Will You Achieve?
With CareConnect, users can:
- Perform health checkups at home and get an understanding of their current health status and generate reports.
- Learn about diseases and conditions, empowering them to make better-informed decisions about their health.
- Follow personalized diet and fitness plans, tailored to their goals and health needs.
- Seek mental health support, with activities and advice to reduce stress and improve well-being.
- Get AI-powered fitness coaching, keeping them motivated.
- Teck Stack used:
CareConnect integrates various technologies, such as:
- Sambanova API
- Sambanova Large Language Models (LLMs): The core technology behind the platform, enabling conversational interactions, personalized recommendations, and context-aware advice.
As for this I have used DeepSeek-R1 and Meta-Llama-3.3-70B-Instruct - Natural Language Processing (NLP): Used for interpreting and understanding user queries, making interactions more natural and human-like.
- prompt engineering: To suggest the best health practices, diet plans, and fitness routines based on user input and preferences.
Demo Video: https://youtu.be/YBGZKuKAqQQ?si=LyCWZNUQIE2RcZRT