Enhance AI Girlfriend App - Android Developer
Budget: €30 – €250 EUR
Android Developer for AI Girlfriend App - Local LLM Integration (Uncensored, Lightweight)
Description:
I am seeking an experienced Android developer to help improve my AI Girlfriend app. The app currently uses a custom API and a backend that integrates with ChatGPT for conversations. However, I want to enhance the app by allowing it to run a local large language model (LLM) on the user's device, removing any external dependencies for a more seamless and uncensored experience.
Objectives:
Local LLM Integration: Replace the current ChatGPT integration with a local LLM that can run directly on the user's device. The goal is to make conversations more interesting, personalized, and uncensored, without any reliance on external servers.
Lightweight Model: Ensure that the local LLM is compact and efficient, so it does not significantly affect the app’s performance or storage requirements. It should be optimized for mobile devices to keep the app size manageable (suitable for Play Store upload).
Improved User Experience: Focus on making the conversation flow smoother and more engaging, enhancing the app’s interactivity and "girlfriend" persona. The app should be able to adapt its responses dynamically based on user input.
Required Skills:
Strong experience with Android development and Java/Kotlin programming.
Familiarity with Machine Learning and LLMs, with knowledge of local model deployment.
Experience with AI models on mobile platforms, optimizing for low latency and minimal storage.
Knowledge of Play Store requirements for app size and performance.
Ability to troubleshoot and optimize existing backend code.
Preferred Skills:
Experience with OpenAI GPT models or similar conversational AI technologies.
Familiarity with NLP and techniques for improving chatbot responses.
Previous experience integrating offline AI models into mobile apps.
Deliverables:
Local LLM Integration: A fully working local LLM that runs directly on Android devices.
Optimized App Size: Ensure the app does not exceed Play Store size limits while maintaining high performance.
Testing and Debugging: Ensure smooth functionality on a range of Android devices.
Documentation: Clear documentation for the integration process and maintenance of the local model.
Description:
I am seeking an experienced Android developer to help improve my AI Girlfriend app. The app currently uses a custom API and a backend that integrates with ChatGPT for conversations. However, I want to enhance the app by allowing it to run a local large language model (LLM) on the user's device, removing any external dependencies for a more seamless and uncensored experience.
Objectives:
Local LLM Integration: Replace the current ChatGPT integration with a local LLM that can run directly on the user's device. The goal is to make conversations more interesting, personalized, and uncensored, without any reliance on external servers.
Lightweight Model: Ensure that the local LLM is compact and efficient, so it does not significantly affect the app’s performance or storage requirements. It should be optimized for mobile devices to keep the app size manageable (suitable for Play Store upload).
Improved User Experience: Focus on making the conversation flow smoother and more engaging, enhancing the app’s interactivity and "girlfriend" persona. The app should be able to adapt its responses dynamically based on user input.
Required Skills:
Strong experience with Android development and Java/Kotlin programming.
Familiarity with Machine Learning and LLMs, with knowledge of local model deployment.
Experience with AI models on mobile platforms, optimizing for low latency and minimal storage.
Knowledge of Play Store requirements for app size and performance.
Ability to troubleshoot and optimize existing backend code.
Preferred Skills:
Experience with OpenAI GPT models or similar conversational AI technologies.
Familiarity with NLP and techniques for improving chatbot responses.
Previous experience integrating offline AI models into mobile apps.
Deliverables:
Local LLM Integration: A fully working local LLM that runs directly on Android devices.
Optimized App Size: Ensure the app does not exceed Play Store size limits while maintaining high performance.
Testing and Debugging: Ensure smooth functionality on a range of Android devices.
Documentation: Clear documentation for the integration process and maintenance of the local model.