SAVIOUR the emergency management app
Budget: ₹12,500 – ₹37,500 INR
Project Description:
Saviour is an emergency management app that aims to provide users with a comprehensive solution for handling emergency situations. The app is divided into four main sections: Practice, Prepare, Learn, and Shop. Each section serves a specific purpose to enhance the user's emergency management skills and preparedness. The app utilizes various technologies, including an AI algorithm and voice command functionality, to deliver a seamless user experience.
Requirements:
1. Practice Section:
- Develop an AI algorithm capable of guiding users through emergency procedures.
- Implement voice command functionality similar to Google Assistant for hands-free operation.
- Provide step-by-step instructions for physical procedures and recommend appropriate medications.
2. Prepare Section:
- Design and develop a course-based system similar to Udemy for emergency management.
- Create interactive and informative courses covering various emergency scenarios.
- Include quizzes and assessments to test users' understanding and knowledge.
3. Learn Section:
- Develop a repository of emergency management resources, including articles, videos, and guides.
- Categorize resources for easy navigation and searchability.
- Enable users to bookmark and save resources for offline access.
4. Shop Section:
- Implement an e-commerce functionality for purchasing emergency medications and kits.
- Integrate secure payment gateways for seamless transactions.
- Allow users to create and manage their shopping lists.
5. ChatGPT Emergency Cases Dataset:
- Train ChatGPT using a dataset specifically focused on emergency cases.
- Include a wide range of emergency scenarios and corresponding responses.
- Fine-tune the model to provide accurate and helpful information during emergencies.
Tech Stacks:
- Front-end: HTML, CSS, JavaScript, React Native (for mobile app development)
- Back-end: Node.js, Express.js
- Database: MongoDB
- AI/ML: Python, TensorFlow or PyTorch (for AI algorithm development)
- Voice Command Integration: Google Assistant API or similar technology
- Payment Gateway: Stripe or similar service
Saviour is an emergency management app that aims to provide users with a comprehensive solution for handling emergency situations. The app is divided into four main sections: Practice, Prepare, Learn, and Shop. Each section serves a specific purpose to enhance the user's emergency management skills and preparedness. The app utilizes various technologies, including an AI algorithm and voice command functionality, to deliver a seamless user experience.
Requirements:
1. Practice Section:
- Develop an AI algorithm capable of guiding users through emergency procedures.
- Implement voice command functionality similar to Google Assistant for hands-free operation.
- Provide step-by-step instructions for physical procedures and recommend appropriate medications.
2. Prepare Section:
- Design and develop a course-based system similar to Udemy for emergency management.
- Create interactive and informative courses covering various emergency scenarios.
- Include quizzes and assessments to test users' understanding and knowledge.
3. Learn Section:
- Develop a repository of emergency management resources, including articles, videos, and guides.
- Categorize resources for easy navigation and searchability.
- Enable users to bookmark and save resources for offline access.
4. Shop Section:
- Implement an e-commerce functionality for purchasing emergency medications and kits.
- Integrate secure payment gateways for seamless transactions.
- Allow users to create and manage their shopping lists.
5. ChatGPT Emergency Cases Dataset:
- Train ChatGPT using a dataset specifically focused on emergency cases.
- Include a wide range of emergency scenarios and corresponding responses.
- Fine-tune the model to provide accurate and helpful information during emergencies.
Tech Stacks:
- Front-end: HTML, CSS, JavaScript, React Native (for mobile app development)
- Back-end: Node.js, Express.js
- Database: MongoDB
- AI/ML: Python, TensorFlow or PyTorch (for AI algorithm development)
- Voice Command Integration: Google Assistant API or similar technology
- Payment Gateway: Stripe or similar service