The latest articles on DEV Community by Chandrashekhar B (@chandrashekhar_b_286d7e33). https://dev.to/chandrashekhar_b_286d7e33 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3955603%2F9cd6a89e-5bec-4828-b7d2-28eee8576af4.png https://dev.to/chandrashekhar_b_286d7e33 en Chandrashekhar B Sat, 30 May 2026 18:25:48 +0000 https://dev.to/chandrashekhar_b_286d7e33/reviving-ca-intelligence-suite-an-ai-accounting-assistant-for-smarter-ledger-analysis-1g34 https://dev.to/chandrashekhar_b_286d7e33/reviving-ca-intelligence-suite-an-ai-accounting-assistant-for-smarter-ledger-analysis-1g34 <p><em>This is a submission for the <a href="https://dev.to/challenges/github-2026-05-21">GitHub Finish-Up-A-Thon Challenge</a></em></p> <h2> What I Built </h2> <p>I built <strong>CA Intelligence Suite</strong>, an AI-powered Chartered Accountant assistant that helps analyze company ledger data from CSV or Excel files.</p> <p>The project combines machine learning, accounting rules, financial dashboards, anomaly detection, compliance checks, and PDF reporting inside a Streamlit web application.</p> <p>It started as an experimental academic/side project where I wanted to combine AI with real accounting workflows. The original idea was simple: upload ledger data and classify transactions. Over time, I wanted it to become something more useful for CA-style financial review.</p> <p>Now the application can:</p> <ul> <li>Upload CSV, XLSX, or XLS ledger files</li> <li>Predict transaction categories using a trained neural network</li> <li>Classify entries as Expense, Income, Asset, or Liability</li> <li>Show confidence scores for AI predictions</li> <li>Detect suspicious or unusual transactions</li> <li>Calculate income, expenses, profit, GST, assets, liabilities, and financial ratios</li> <li>Generate CA insights and compliance warnings</li> <li>Display interactive dashboards and visualizations</li> <li>Export processed data and generate a professional PDF report</li> </ul> <p>The goal was to turn a partially completed AI accounting experiment into a polished, usable financial analysis tool.</p> <h2> Demo </h2> <p>GitHub Repository: <strong><a href="https://github.com/chandrashekharb369/CA" rel="noopener noreferrer">https://github.com/chandrashekharb369/CA</a></strong><br> Pdf Report: <strong><a href="https://github.com/chandrashekharb369/CA/blob/main/CA_Report_ABC_Private_Limited_2024-25%20(1).pdf" rel="noopener noreferrer">https://github.com/chandrashekharb369/CA/blob/main/CA_Report_ABC_Private_Limited_2024-25%20(1).pdf</a></strong></p> <p>Screenshots:</p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fa2g3339xh5ysq9zpfqw3.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fa2g3339xh5ysq9zpfqw3.png" alt=" " width="800" height="375"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F0k4mf1uh2u7l57k5yfss.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F0k4mf1uh2u7l57k5yfss.png" alt=" " width="800" height="379"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5kd87p5rb0b3hyoso905.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5kd87p5rb0b3hyoso905.png" alt=" " width="800" height="381"></a></p> <p><a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F88zznsc8dxcmno26jdkc.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F88zznsc8dxcmno26jdkc.png" alt=" " width="800" height="383"></a><br> <a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5muu18tiws4j7bhin7ek.png" class="article-body-image-wrapper"><img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F5muu18tiws4j7bhin7ek.png" alt=" " width="800" height="375"></a><br> The main workflow is:</p> <ol> <li>Launch the Streamlit app.</li> <li>Upload a company ledger file.</li> <li>Enable AI predictions.</li> <li>Review transaction categories, confidence scores, dashboards, charts, CA insights, and reports.</li> <li>Download the processed CSV or PDF report.</li> </ol> <p>To run locally:</p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code> bash pip install -r requirements.txt python run_pipeline.py streamlit run app.py </code></pre> </div> devchallenge githubchallenge