Phoenix - Your AI AssistantOn-Device NLP Feature—Text Classification or Sentiment in Mobile
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4 days
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What you get with this Offer
I will build and integrate an on-device NLP feature into your iOS, Android, or Flutter mobile application — covering text classification, sentiment analysis, intent detection, or keyword extraction — using a quantised transformer or lightweight NLP model optimised for mobile inference with TensorFlow Lite, Core ML, or ONNX Runtime. On-device NLP means your app processes text privately, instantly, and without an internet connection — critical for journaling apps, mental health tools, messaging assistants, productivity apps, and any context where user text should never leave the device.
The feature covers model selection and optimisation for mobile hardware, tokenisation pipeline adapted for mobile (BPE or WordPiece on-device), inference module with input/output handling, and a clean Swift, Kotlin, or Dart API your app can call with a string and receive a structured result. Performance benchmarks on representative device hardware are included so you know exactly what latency to expect before shipping.
Ideal for apps in mental health, productivity, social media, customer feedback, or content moderation where understanding the meaning or sentiment of user-generated text in real time — without cloud dependency — is a core product requirement.
The feature covers model selection and optimisation for mobile hardware, tokenisation pipeline adapted for mobile (BPE or WordPiece on-device), inference module with input/output handling, and a clean Swift, Kotlin, or Dart API your app can call with a string and receive a structured result. Performance benchmarks on representative device hardware are included so you know exactly what latency to expect before shipping.
Ideal for apps in mental health, productivity, social media, customer feedback, or content moderation where understanding the meaning or sentiment of user-generated text in real time — without cloud dependency — is a core product requirement.
What the Freelancer needs to start the work
Please describe the NLP task (what text is being analysed, what output is expected, and how it's used in the app), your target platform, your existing mobile codebase, whether you have a trained model or need one fine-tuned, and your latency and accuracy requirements.