AI Habit-Based Life Automation
Budget: ₹400 – ₹750 INR
I’m looking for an end-to-end solution that learns how I actually use my phone and then quietly takes repetitive work off my hands. The core idea is a model that studies my chats, calendar entries and overall app activity, picks up my daily patterns—such as craving lunch at 2 p.m.—and then surfaces a prompt (“Order lunch now?”). With one tap, the system should place the order through my preferred food-delivery app; the same friction-free flow applies to booking trips, replying to emails, scheduling calls, logging workouts—anything that can be done on my phone.
It should also track my mood and help me with the next best solution to the problem in my life.
To make that happen, the platform must:
• Connect seamlessly to food-delivery apps, travel-booking services and email clients out of the box, while remaining extensible so I can plug in any other Android or iOS app later.
• Trigger actions for ordering food, scheduling meetings and sending automated replies (plus future habit-driven workflows) without me having to script each one.
• Learn habits by analysing chat history, monitoring app usage and reading calendar data, while also taking cues from the tone of my messages or voice to sense urgency or mood.
• Keep data processing on-device or securely in the cloud with clear privacy controls.
Acceptance criteria
1. A working mobile prototype (Android or cross-platform) that demonstrates at least three habit-driven automations: lunch ordering, meeting scheduling and an email reply.
2. A modular connector framework with sample integrations for the above app categories.
3. A lightweight dashboard or settings screen where I can review, approve or edit suggested actions and manage privacy permissions.
4. Documentation outlining model architecture, training approach, and how to add new app connectors.
If you have experience blending on-device machine learning, natural-language processing and mobile automation frameworks (e.g., Android Intents, iOS Shortcuts, Zapier-style APIs), I’d love to see how you’d approach this.
It should also track my mood and help me with the next best solution to the problem in my life.
To make that happen, the platform must:
• Connect seamlessly to food-delivery apps, travel-booking services and email clients out of the box, while remaining extensible so I can plug in any other Android or iOS app later.
• Trigger actions for ordering food, scheduling meetings and sending automated replies (plus future habit-driven workflows) without me having to script each one.
• Learn habits by analysing chat history, monitoring app usage and reading calendar data, while also taking cues from the tone of my messages or voice to sense urgency or mood.
• Keep data processing on-device or securely in the cloud with clear privacy controls.
Acceptance criteria
1. A working mobile prototype (Android or cross-platform) that demonstrates at least three habit-driven automations: lunch ordering, meeting scheduling and an email reply.
2. A modular connector framework with sample integrations for the above app categories.
3. A lightweight dashboard or settings screen where I can review, approve or edit suggested actions and manage privacy permissions.
4. Documentation outlining model architecture, training approach, and how to add new app connectors.
If you have experience blending on-device machine learning, natural-language processing and mobile automation frameworks (e.g., Android Intents, iOS Shortcuts, Zapier-style APIs), I’d love to see how you’d approach this.