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README.md

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----
-title: Pcb Image2schematic
-emoji: 🚀
-colorFrom: green
-colorTo: red
-sdk: gradio
-sdk_version: 6.6.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: PCB Image2Schematic
+emoji: 🔌
+colorFrom: green
+colorTo: blue
+sdk: gradio
+sdk_version: 4.44.1
+app_file: app.py
+pinned: false
+---
+
+# 🔌 PCB Image → Schematic
+
+Convert a PCB photo into a KiCAD schematic automatically using AI.
+
+## Pipeline
+1. **Component Detection** — YOLOv8 via Roboflow API detects resistors, capacitors, ICs etc.
+2. **IC Text Reading** — EasyOCR reads part numbers from chip silkscreen
+3. **Netlist Generation** — OpenCV trace following + proximity detection finds connections
+4. **KiCAD Output** — Generates `.kicad_sch` file ready to open in KiCAD
+
+## Local Setup
+```bash
+git clone https://github.com/sanjay-r123/pcb-image2schematic
+cd pcb-image2schematic
+python -m venv venv
+venv\Scripts\activate
+pip install -r requirements.txt
+python app.py
+```
+Then open http://localhost:7860
+
+## Run Individual Stages
+```bash
+python detector.py     "your_pcb.jpg"
+python ocr.py          "your_pcb.jpg"          "your_pcb_results.json"
+python netlist.py      "your_pcb.jpg"          "your_pcb_results_ocr.json"
+python kicad_writer.py "your_pcb_netlist.json"
+```
+
+## Tech Stack
+- Roboflow YOLOv8 — component detection
+- EasyOCR — IC text reading  
+- OpenCV — trace detection
+- KiCAD format — schematic output
+- Gradio — web UI