Fixes #725 Visual Chessboard Analysis: CNN-based FEN Code Generation #732
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👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly. To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review! |
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Nov 3, 2024
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🎉🎉 Thank you for your contribution! Your PR #732 has been merged! 🎉🎉 |
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Related Issues or bug
Recording and analyzing chessboard positions is a common yet challenging task for chess players, analysts, and software developers. Manual conversion of board configurations into FEN (Forsyth-Edwards Notation) strings is time-consuming and prone to human error, limiting the efficient use of chess engines, digital recording, and automated analysis tools.
This project aims to automate FEN generation from chessboard images by leveraging deep learning, specifically CNNs. The model predicts chess piece positions and converts them into standardized FEN notation, facilitating seamless integration with chess software and engines for analysis, gameplay, and training purposes.
Fixes: #725
Proposed Changes
Added my Project file .ipynb with a Readme File