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edge-cloud-vision

Edge-cloud vision with temporal memory, instrumentation, and calibrated per-condition acceptance (TFLite + MQTT + FastAPI/LLM).

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GITHUB · launched Oct 19, 2026 · 19 upvotes (top 62%)

Similar launches

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Could you build this?

Partial The MQTT, FastAPI, and LLM glue is standard, but the edge vision model, calibration per condition, and temporal memory require real ML and data work.

What it would actually take: The pipeline (TFLite on edge devices, MQTT transport, FastAPI backend, LLM integration) is buildable by a solo developer. The hard parts are training or selecting a vision model that works in the target environment and collecting labeled data for per-condition calibration. Edge deployment and monitoring also need embedded and MLOps experience.

Competitors

Other products that read as similar to this one : 1928 launches clear the similarity bar, closest 8 shown.

Attention rank: #1142 of 1929 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 353 days after the earliest competitor.

Other launches for this product

More details
External ID
1425441342
Company
n/a
Product
edge-cloud-vision
Website domain
github.com
Cohort
n/a
Upvotes percentile
0.38
All tags
calibration, conformal-prediction, edge-computing, fastapi, iot, llm, measurement, mqtt, opencv, python, tflite
AI summary
edge-cloud vision pipeline with temporal memory and per-condition acceptance testing
Manually corrected
No