TEACHSCRIBE
On-Device Multimodal Photo Retrieval
Designed, built and evaluated an Android image–text retrieval pipeline using TinyCLIP 39M/16, separate INT8 ONNX encoders, native Kotlin preprocessing and persistent RAM + SQLite embedding reuse.
Five pretrained vision-language models were compared before deployment. The final ranking path stays fully local and keeps the teacher as the final decision-maker. The pipeline has been integrated into TeachScribe and shipped within its deployment to 50+ UK schools; that figure is deployment reach, not measured adoption of this specific feature.