Contact person: Business Client

Phone:Show

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Location: India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need an end-to-end system that lets a user open a mobile app, snap or choose a scanned page from any Telugu book, and instantly hear the text read aloud while the backend checks whether the same passage already exists in my book-preview dataset.

Here is the flow I have in mind:

• The mobile app (must run on both iOS and Android) presents a simple “Upload / Capture” screen.
• On upload, the image is sent to Google Cloud where OCR is performed. The OCR must handle multiple Telugu fonts and return clean Unicode.
• The extracted text is fed to a Telugu Text-to-Speech engine and the audio stream is returned to the app.
• In parallel, the text is compared against my preview catalogue, currently stored as folder of pdfs together with the corresponding PDFs. If a match is found, the service returns “found” if found retrieve the pdf from dataset and a link to download the PDF with a timestamp appended. If not found, it simply returns “not found.”

I will provide the PDFs. You will deliver:

1. Cross-platform mobile app source and builds.
2. Google Cloud backend code (OCR, TTS, text-matching logic, secure API).
3. A small Firestore / Cloud SQL setup or similar for hosting the dataset converted from Excel, with a routine that keeps it in sync.
4. Deployment scripts or Terraform so I can reproduce the setup in my own GCP project.
5. Brief documentation and a test video showing the workflow from image capture to audio playback and dataset response.

Acceptance criteria: the app recognises at least 90 % of text on standard printed pages, returns audio within five seconds for a typical page, and reliably flags matches in the dataset.

If you have experience with tools like Tesseract, Google Vision API, Cloud Text-to-Speech, Flutter or React Native, and efficient string-matching on large text collections, let’s get started.
also attached the sample dataset with 1 pdf" (client-provided description)