Pi Camera OCR-AI OLED System

I need a self-contained Python pipeline that runs on a Raspberry Pi, grabs an image from the Pi Camera, extracts any text it finds in the picture, sends that text to a lightweight AI function, then shows the AI’s short answer on a small SPI/I²C OLED display. Scope of work • Capture: Trigger the Pi Camera (libcamera or picamera2) and save a frame. • OCR: Use Tesseract, EasyOCR, or another open-source library to read text from the image. The input is always “text from images,” never scanned PDFs or live handwriting. • AI logic: Pass the recognised string to a simple question-answer routine (OpenAI API, Llama .cpp, or any efficient model you prefer) and return a concise, single-sentence reply. No lengthy explanations are needed. • Display: Push that reply to a 128×64 (or similar) monochrome OLED over SPI/I²C using the common SSD1306 driver. Text must be readable and auto-wrap if longer than the screen width. • Repeat or exit cleanly on Ctrl-C. Acceptance criteria 1. A single CLI command (e.g., python3 [login to view URL]) initiates the whole flow and prints any debug messages to the terminal. 2. Accuracy: OCR reliably captures printed text that is at least 10 pt and well lit. 3. AI response arrives in <3 s on a stable network connection and never exceeds one sentence. 4. OLED shows the answer without truncation or flicker. 5. Include [login to view URL], commented source code, and a brief README covering wiring, environment setup, and API key placement. I already have the Pi, camera, and OLED wired; just need the software and clear instructions so I can run it today.

Project ID: 40442710