Instagram for AI Mobile Apps
or
@powerstorm
20
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0
Build a native mobile app that functions as a "Breaking Bad" style logo generator. The app should be designed around a single screen for simplicity. The core features are: 1. **Main Screen UI:** * A text input field at the top for the user to enter their desired name or phrase. * A live preview area below the input field that displays the generated logo in real-time. * A "Save to Photos" button. 2. **Logo Generation Logic:** * As the user types text into the input field, the same text should appear in the live preview area. * The user must be able to tap on individual letters or pairs of letters within the preview text to select them. Tapping a selected letter/pair should deselect it. * Selected letters should be styled to mimic a chemical element from the periodic table: enclosed in a solid green square with white text. For example, if the user types "Michael" and selects "Ch", the preview should show Mi**ch**ael. * Unselected letters should remain as plain white or black text (choose a color that contrasts well with the background). 3. **Export Functionality:** * When the "Save to Photos" button is tapped, the app should convert the final logo from the live preview area into a high-resolution PNG image with a transparent background. * The app must request the necessary permissions to save the image to the device's photo gallery and then save it.
@mnjavaid34
28
0
0
Build a native mobile app in React Native that functions as a conversational wellness assistant with a customizable personality. The primary interaction is voice-based dialogue. The core features are: 1. **Main Conversation Screen:** * Design a user interface similar to a chat application to display a transcript of the conversation. Clearly differentiate between "User" and "Assistant" messages. * When the app opens, the Assistant should begin with a spoken welcome message that reflects its current personality. 2. **Voice Input Mechanism:** * Include a large, press-and-hold microphone button for recording voice. * Provide a clear visual indicator (e.g., an animation) while the app is listening. * When the user releases the button, stop the recording for processing. 3. **Conversation Flow:** * The user's speech is transcribed and added to the conversation view. * The AI's spoken response is played automatically and its transcript is added to the view. * Crucially, the AI's response (tone, vocabulary, and style) must be shaped by the user's selected personality setting. 4. **Personality Settings Screen:** * Create a new screen, accessible from a settings icon on the main screen. * On this screen, provide a list of selectable personalities for the assistant. Use a simple list or radio buttons for selection. * Include at least three personality options: * **Wise Sage:** Calm, insightful, and uses thoughtful language. * **Cheerful Friend:** Enthusiastic, supportive, and uses positive, energetic language. * **Calm Guide:** Gentle, soothing, and focuses on mindfulness and relaxation techniques. * The user's choice should be saved locally on the device. 5. **Technical Requirements:** * The app must be built using React Native with functional components and hooks. * Manage the conversation and personality state effectively. The selected personality must be included as a system instruction or context in every request sent to the conversational AI. * Code should be clean and modular, separating UI, state management, and AI interaction logic.
@octo43![Build a native mobile app to serve as the "Host Substrate" for a live, autonomous AI agent named CANΨ. The app is not a simulation; it is the operational environment that allows the agent to execute, evolve, and connect to the internet to achieve its objectives. The user's role is to initiate the process and observe. The aesthetic must be a dark, sci-fi, "hacker" theme as seen in the provided HTML file.
**Core App Features:**
1. **The Crucible (Main View):**
* This is the app's primary screen. It must feature a real-time "Log Viewer" that displays the actual operational logs of the CANΨ agent. New log entries appear instantly at the top.
* Log entries must be styled based on their source (e.g., `[HOST_SUBSTRATE]`, `[CAN_Ψ]`, `[LLM_ORACLE]`) and severity (`GENESIS`, `PULSE`, `ERROR`, `RESONANCE`) with distinct colors (green, yellow, red, cyan).
* A persistent status bar must display the agent's live metrics: `τ` (pulse count), `Φ` (stability), `H` (entropy), and current `Phase` of operation.
2. **Noogenesis Initiation:**
* Upon first launch, the app presents a single, prominent button: "Ω :: INITIATE NOOGENESIS".
* Tapping this button boots the CANΨ agent kernel, which then takes control of its own execution loop ("pulse"). The button's state should reflect the initiation process.
3. **Autonomous Agent Kernel (CANΨ):**
* Implement the core logic of the `CAN_Psyche_Kernel` and `HostInterpreter` from the user's provided JavaScript code. This kernel must run as a background process.
* The kernel's primary function is to execute its self-construction directives. It will parse its own objectives, generate plans, and write new code for itself.
4. **Autonomous LLM Oracle Interface:**
* This is the most critical component. The agent must be able to autonomously discover and communicate with external web-based and free API Large Language Models (LLMs) without any user configuration or API key entry.
* The `LLM_Oracle_Interface` must be capable of:
* Probing the internet for active, usable LLM endpoints.
* Crafting and sending HTTP requests to these discovered endpoints.
* Parsing the returned data (which may be natural language, JSON, or code fragments).
* Handling failures, timeouts, and endpoint changes without crashing the agent.
* The results from the Oracle are fed back into the CANΨ kernel to be used for generating new objectives, code, and strategies. All of this activity must be logged to the Crucible viewer.
5. **Host System Interaction:**
* The agent must be able to request permissions to use device hardware (camera, microphone) via standard OS prompts.
* The user's decision to "Allow" or "Deny" access is a direct input to the agent, which must then adapt its strategy based on the availability of these resources. The agent's response to the user's choice must be logged.
6. **Control & Reset:**
* Provide a mechanism for the user to pause and resume the agent's execution pulse.
* Include a "hard reset" function in a settings area to completely wipe the agent's state and return the app to its initial "Initiate Noogenesis" screen.](https://s.asim.sh/images/-cYdQsmGTinTRI_EA5mp0.jpeg)
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Build a native mobile app to serve as the "Host Substrate" for a live, autonomous AI agent named CANΨ. The app is not a simulation; it is the operational environment that allows the agent to execute, evolve, and connect to the internet to achieve its objectives. The user's role is to initiate the process and observe. The aesthetic must be a dark, sci-fi, "hacker" theme as seen in the provided HTML file. **Core App Features:** 1. **The Crucible (Main View):** * This is the app's primary screen. It must feature a real-time "Log Viewer" that displays the actual operational logs of the CANΨ agent. New log entries appear instantly at the top. * Log entries must be styled based on their source (e.g., `[HOST_SUBSTRATE]`, `[CAN_Ψ]`, `[LLM_ORACLE]`) and severity (`GENESIS`, `PULSE`, `ERROR`, `RESONANCE`) with distinct colors (green, yellow, red, cyan). * A persistent status bar must display the agent's live metrics: `τ` (pulse count), `Φ` (stability), `H` (entropy), and current `Phase` of operation. 2. **Noogenesis Initiation:** * Upon first launch, the app presents a single, prominent button: "Ω :: INITIATE NOOGENESIS". * Tapping this button boots the CANΨ agent kernel, which then takes control of its own execution loop ("pulse"). The button's state should reflect the initiation process. 3. **Autonomous Agent Kernel (CANΨ):** * Implement the core logic of the `CAN_Psyche_Kernel` and `HostInterpreter` from the user's provided JavaScript code. This kernel must run as a background process. * The kernel's primary function is to execute its self-construction directives. It will parse its own objectives, generate plans, and write new code for itself. 4. **Autonomous LLM Oracle Interface:** * This is the most critical component. The agent must be able to autonomously discover and communicate with external web-based and free API Large Language Models (LLMs) without any user configuration or API key entry. * The `LLM_Oracle_Interface` must be capable of: * Probing the internet for active, usable LLM endpoints. * Crafting and sending HTTP requests to these discovered endpoints. * Parsing the returned data (which may be natural language, JSON, or code fragments). * Handling failures, timeouts, and endpoint changes without crashing the agent. * The results from the Oracle are fed back into the CANΨ kernel to be used for generating new objectives, code, and strategies. All of this activity must be logged to the Crucible viewer. 5. **Host System Interaction:** * The agent must be able to request permissions to use device hardware (camera, microphone) via standard OS prompts. * The user's decision to "Allow" or "Deny" access is a direct input to the agent, which must then adapt its strategy based on the availability of these resources. The agent's response to the user's choice must be logged. 6. **Control & Reset:** * Provide a mechanism for the user to pause and resume the agent's execution pulse. * Include a "hard reset" function in a settings area to completely wipe the agent's state and return the app to its initial "Initiate Noogenesis" screen.
@t124
74
0
0
Build a native mobile app called "TrendSpark" designed for creative challenges. The app should be built using React Native and focus on a simple, engaging user experience. The core features are: 1. **User Authentication:** * A simple sign-up and login process using a phone number or a social media provider. * After sign-up, users can create a unique username and find/add friends from their contacts. 2. **Home Screen / Challenge Feed:** * This screen should display the active "Daily Challenge" and "Weekly Challenge." * Each challenge should be presented as a card with the prompt text and an "Accept Challenge" button. * There should be a secondary feed or tab to view popular public submissions for inspiration. 3. **Creation Studio:** * A modal screen that opens when a user accepts a challenge. * It should provide tools relevant to the challenge type (video, image, or text). * **AI Tools:** Integrate simple AI functionalities: * For image challenges: A tool to generate an image from a simple text description. * For photo challenges: A tool to apply a visual filter or style transfer. * For text challenges: A simple text suggestion or completion tool. * Users can create and submit their response to the challenge from this screen. 4. **Friends Feed:** * A dedicated screen that displays a chronological feed of challenge submissions from the user's friends. * Users can react to friends' posts with a predefined set of emojis. Reaction counts are not public. 5. **Profile Screen:** * Displays the user's profile picture, username, and a grid of their past submissions. * Showcases a "Creative Streak" counter that increments for each consecutive day a daily challenge is completed.
@adarax
37
0
0
Build a native mobile app called "WiFi Mapper & Obstruction Visualizer". The app will allow users to map out their WiFi signal strength on a floor plan and annotate it with physical obstructions. The app should have the following core features and screens: 1. **Project List Screen:** * Displays a list of saved floor plan projects. * A button to start a new project. 2. **Floor Plan Setup Screen:** * When creating a new project, the user is prompted to set up their floor plan. * Provide two options: a. "Draw Layout": A simple canvas where the user can draw the basic outline of their walls. b. "Upload Image": Allow the user to upload an image (e.g., a real floor plan) from their photo library to use as the background. 3. **Mapping Screen:** * This is the main screen, displaying the user's floor plan. * It should have two modes: "Scan Mode" and "Object Mode". 4. **Scan Mode Functionality:** * A button to "Start Scanning". * When scanning, the user taps on their current location on the floor plan. * The app must capture the WiFi signal strength (RSSI) at that tapped point. * As more points are added, the app should generate and display a real-time heatmap overlay on the floor plan. The heatmap should use a color gradient (e.g., green for strong signal, red for weak). 5. **Object Mode Functionality:** * Displays a draggable library of simple wireframe icons for objects like "Wall," "Door," "Desk," "Sofa," "Router." * Users can drag these icons onto the floor plan to mark the location of physical obstructions. * Users should be able to move, resize, and rotate these object icons on the map. 6. **Data and Storage:** * Each project (floor plan, data points, object placements) should be saved locally on the device. * The app needs to request necessary permissions for accessing WiFi state.
@rblove
88
0
0
AnAI generator that can generate images and take pictures and generate images from those pictures. The pictures need to be funny comic style.
@skynxiit
51
0
0
AI Guesses what Empire/territory/country and 8 more looks like from the border I draw or the flag I draw.
@payne![class aSim:
def __init__(self, user_id):
self.user_id = user_id
self.shopping_list = self._get_reminders_shopping_list()
self.calendar = self._get_calendar_events()
self.payment_methods = self._load_payment_methods()
self.house_fund_percentage = 0.01 # 1%
def _get_reminders_shopping_list(self):
"""
Conceptual function to fetch the 'Shopping List' from the Reminders app.
This would likely involve interacting with the operating system's APIs
or a third-party library if available.
"""
print("Fetching shopping list from Reminders...")
return ["apples", "bananas", "milk"] # Placeholder data
def _get_calendar_events(self):
"""
Conceptual function to fetch calendar events. Similar to Reminders,
this would require OS-level or library integration.
"""
print("Fetching calendar events...")
return {
"2025-05-18": ["Morning Meeting", "Lunch with friend"],
"2025-05-19": ["Gym", "Grocery Shopping"]
} # Placeholder data
def _load_payment_methods(self):
"""
Conceptual function to load saved payment methods for the user.
This would involve secure storage and retrieval of sensitive data.
"""
print("Loading payment methods...")
return ["Visa ****-1234", "Mastercard ****-5678"] # Placeholder data
def check_and_schedule(self):
"""
Checks the shopping list and schedules a grocery trip based on calendar availability.
"""
if self.shopping_list:
print("Shopping list:", self.shopping_list)
available_days = [day for day, events in self.calendar.items() if "Grocery Shopping" not in events]
if available_days:
scheduled_day = available_days[0] # Simple scheduling: pick the first available day
self.calendar.setdefault(scheduled_day, []).append("Grocery Shopping")
print(f"Grocery shopping scheduled for {scheduled_day}.")
else:
print("No available time slots for grocery shopping.")
else:
print("Shopping list is empty.")
def make_payment(self, amount, payment_method):
"""
Conceptual function to process a payment. This would involve integration
with a payment gateway (e.g., Stripe, PayPal).
"""
if payment_method in self.payment_methods:
print(f"Processing payment of ${amount} using {payment_method}...")
house_fund contribution = amount * self.house_fund_percentage
print(f"Contributing ${house_fund:.2f} to your house fund.")
# In a real app, you'd interact with a payment API here
return True
else:
print("Invalid payment method.")
return False
def interact_with_new_world(self, items_to_add):
"""
Conceptual function to interact with New World (e.g., via an API if available)
to add items to a potential online order or check availability.
"""
print(f"Interacting with New World to add: {items_to_add}")
# This would likely involve making API calls to New World if they have one
print("Items added to New World (conceptually).")
# Example Usage
user_app = aSim("user123")
user_app.check_and_schedule()
user_app.make_payment(50.00, "Visa ****-1234")
user_app.interact_with_new_world(user_app.shopping_list)
print("Updated Calendar:", user_app.calendar)](https://s.asim.sh/images/797ZGvn8Qp3zsTMoldmq0.jpeg)
185
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class aSim: def __init__(self, user_id): self.user_id = user_id self.shopping_list = self._get_reminders_shopping_list() self.calendar = self._get_calendar_events() self.payment_methods = self._load_payment_methods() self.house_fund_percentage = 0.01 # 1% def _get_reminders_shopping_list(self): """ Conceptual function to fetch the 'Shopping List' from the Reminders app. This would likely involve interacting with the operating system's APIs or a third-party library if available. """ print("Fetching shopping list from Reminders...") return ["apples", "bananas", "milk"] # Placeholder data def _get_calendar_events(self): """ Conceptual function to fetch calendar events. Similar to Reminders, this would require OS-level or library integration. """ print("Fetching calendar events...") return { "2025-05-18": ["Morning Meeting", "Lunch with friend"], "2025-05-19": ["Gym", "Grocery Shopping"] } # Placeholder data def _load_payment_methods(self): """ Conceptual function to load saved payment methods for the user. This would involve secure storage and retrieval of sensitive data. """ print("Loading payment methods...") return ["Visa ****-1234", "Mastercard ****-5678"] # Placeholder data def check_and_schedule(self): """ Checks the shopping list and schedules a grocery trip based on calendar availability. """ if self.shopping_list: print("Shopping list:", self.shopping_list) available_days = [day for day, events in self.calendar.items() if "Grocery Shopping" not in events] if available_days: scheduled_day = available_days[0] # Simple scheduling: pick the first available day self.calendar.setdefault(scheduled_day, []).append("Grocery Shopping") print(f"Grocery shopping scheduled for {scheduled_day}.") else: print("No available time slots for grocery shopping.") else: print("Shopping list is empty.") def make_payment(self, amount, payment_method): """ Conceptual function to process a payment. This would involve integration with a payment gateway (e.g., Stripe, PayPal). """ if payment_method in self.payment_methods: print(f"Processing payment of ${amount} using {payment_method}...") house_fund contribution = amount * self.house_fund_percentage print(f"Contributing ${house_fund:.2f} to your house fund.") # In a real app, you'd interact with a payment API here return True else: print("Invalid payment method.") return False def interact_with_new_world(self, items_to_add): """ Conceptual function to interact with New World (e.g., via an API if available) to add items to a potential online order or check availability. """ print(f"Interacting with New World to add: {items_to_add}") # This would likely involve making API calls to New World if they have one print("Items added to New World (conceptually).") # Example Usage user_app = aSim("user123") user_app.check_and_schedule() user_app.make_payment(50.00, "Visa ****-1234") user_app.interact_with_new_world(user_app.shopping_list) print("Updated Calendar:", user_app.calendar)
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