Mobile App for Task Management & Reminders
Budget: $750 – $1,500 USD
We seek to develop a mobile app to help certain people manage their daily tasks, and appointments more effectively. The app will include voice-based interaction, customizable reminders, and emergency alerts to ensure ease of use and reliability. Key functionalities include reminders, appointment scheduling, and caregiver notifications. The app should have a simple, intuitive interface designed specifically with large buttons, clear fonts, and easy navigation. Experience with voice recognition, push notifications, and cross-platform development (e.g., Flutter, React Native) is highly preferred.
Should have solid experience in APIs like Dialogflow, OpenAI GPT, or TensorFlow Lite. Should Use pre-trained models. Knowledge of integrating cloud services like Firebase or AWS may be needed.Use Google Speech-to-Text or Apple Speech Framework for voice recognition.
Integrate Dialogflow or OpenAI GPT for NLP. The project timeline is 3 months, focusing on delivering a high-quality, functional product.
Please provide a detailed proposal, including your approach, estimated timeline, and cost. Automated answers/bids will be rejected. This is not going to be a commercial product, so please make it affordable. The product should be developed in such a way that there are no issues in getting into Apple app stores or Google App store.
Should have solid experience in APIs like Dialogflow, OpenAI GPT, or TensorFlow Lite. Should Use pre-trained models. Knowledge of integrating cloud services like Firebase or AWS may be needed.Use Google Speech-to-Text or Apple Speech Framework for voice recognition.
Integrate Dialogflow or OpenAI GPT for NLP. The project timeline is 3 months, focusing on delivering a high-quality, functional product.
Please provide a detailed proposal, including your approach, estimated timeline, and cost. Automated answers/bids will be rejected. This is not going to be a commercial product, so please make it affordable. The product should be developed in such a way that there are no issues in getting into Apple app stores or Google App store.
Related categories:
Mobile App Development
iPhone
Android
Machine Learning (ML)
Artificial Intelligence