The latest articles on DEV Community by Manvanth Gowda M (@manvanthgowda). https://dev.to/manvanthgowda 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%2F3966871%2F51d61f47-dea5-4604-b0e6-b4031aaff453.jpeg https://dev.to/manvanthgowda en Manvanth Gowda M Wed, 03 Jun 2026 16:55:05 +0000 https://dev.to/manvanthgowda/revisiting-my-old-ml-project-battery-drain-predictor-using-linear-regression-31f0 https://dev.to/manvanthgowda/revisiting-my-old-ml-project-battery-drain-predictor-using-linear-regression-31f0 <p>This is a submission for the GitHub Finish-Up-A-Thon Challenge</p> <p>What I Built</p> <p>One of the projects I built while learning Machine Learning was a Battery Drain Predictor using Linear Regression. The goal was to explore how machine learning can be used to estimate battery drain patterns based on usage data and device behavior.</p> <p>Although the core functionality was working, the project remained unfinished for a long time. During the Finish-Up-A-Thon, I decided to revisit it, improve the overall quality, polish the repository, and finally release a complete version.</p> <p>This project represents an important milestone in my machine learning journey because it was one of the first times I applied a real-world regression model to solve a practical problem.</p> <p>Demo</p> <p>GitHub Repository</p> <p>🔗 <a href="https://github.com/Manvanth-Gowda-M/BATTERY-DRAIN-PREDICTOR-USING-LR" rel="noopener noreferrer">GitHub</a></p> <p>Release</p> <p>🚀 <a href="https://github.com/Manvanth-Gowda-M/BATTERY-DRAIN-PREDICTOR-USING-LR/releases/tag/V1.0.0" rel="noopener noreferrer">Apk</a></p> <p>Project Highlights</p> <ul> <li>Data preprocessing and cleaning</li> <li>Linear Regression model implementation</li> <li>Battery drain prediction</li> <li>Model evaluation and performance analysis</li> <li>Improved documentation and project structure</li> </ul> <p>The Comeback Story</p> <p>When I first built this project, my primary focus was learning the fundamentals of machine learning. The prediction model worked, but the repository lacked the polish expected from a complete open-source project.</p> <p>During the Finish-Up-A-Thon, I revisited the codebase and focused on:</p> <ul> <li>Reviewing the existing implementation</li> <li>Cleaning and organizing the project structure</li> <li>Improving documentation</li> <li>Enhancing repository readability</li> <li>Preparing a proper release</li> <li>Publishing Version 1.0.0</li> </ul> <p>This process showed me how much I've grown as a developer. Looking back at old code is always a great reminder of the progress you've made and the improvements you can still apply.</p> <p>My Experience with GitHub Copilot</p> <p>GitHub Copilot helped streamline the review and refinement process by assisting with code suggestions, documentation improvements, and development workflows.</p> <p>Rather than spending time writing repetitive code and boilerplate content, I was able to focus more on understanding, improving, and finalizing the project.</p> <p>One of the biggest benefits was using Copilot as a development companion while reviewing older code. It helped speed up iteration and made the finishing process much smoother.</p> <p>Final Thoughts</p> <p>Finishing a project can be just as valuable as starting one.</p> <p>This challenge gave me the perfect opportunity to revisit an old machine learning project, improve its quality, and finally release it publicly. The experience reinforced an important lesson: every completed project is a step forward in your development journey.</p> <p>Thanks for reading! Feedback and suggestions are always welcome. 🚀</p> <h1> GitHub #GitHubCopilot #MachineLearning #Python #LinearRegression #OpenSource #DEVCommunity #FinishUpAThon </h1> devchallenge githubchallenge Manvanth Gowda M Wed, 03 Jun 2026 16:18:42 +0000 https://dev.to/manvanthgowda/introducing-gitrank-transforming-github-activity-into-a-meaningful-developer-score-5882 https://dev.to/manvanthgowda/introducing-gitrank-transforming-github-activity-into-a-meaningful-developer-score-5882 <p>The Problem</p> <p>GitHub has become the standard platform for developers to showcase their work, collaborate on projects, and contribute to open source. However, evaluating a developer's overall impact is still challenging.</p> <p>Most existing metrics focus only on simple statistics such as stars, followers, or repository counts. These numbers rarely tell the complete story of a developer's contributions, consistency, and influence within the developer ecosystem.</p> <p>That's why we built GitRank.<br> <a href="https://gitrankten.vercel.app/" rel="noopener noreferrer"></a></p> <p>What is GitRank?</p> <p>GitRank is a platform designed to analyze GitHub profiles and generate a comprehensive developer ranking based on real contribution data.</p> <p>Instead of looking at a single metric, GitRank evaluates multiple aspects of a developer's GitHub presence, including:</p> <ul> <li>Repository quality</li> <li>Commit activity</li> <li>Open-source contributions</li> <li>Community engagement</li> <li>Project popularity</li> <li>Development consistency</li> <li>Technical impact</li> </ul> <p>The goal is to provide a more meaningful representation of a developer's overall influence and contribution to the developer community.</p> <p>Why We Built It</p> <p>As developers, we noticed that many talented engineers often go unnoticed because traditional metrics fail to capture the full picture of their work.</p> <p>A developer may:</p> <ul> <li>Contribute regularly to open-source projects</li> <li>Maintain high-quality repositories</li> <li>Help other developers through issues and discussions</li> <li>Build innovative projects</li> </ul> <p>Yet these contributions are difficult to compare or quantify.</p> <p>GitRank aims to solve this problem by creating a transparent and data-driven ranking system.</p> <p>Key Features</p> <p>GitHub Profile Analysis</p> <p>Connect a GitHub username and instantly receive detailed insights about developer activity and performance.</p> <p>Developer Ranking System</p> <p>GitRank generates a score based on multiple factors instead of relying on a single vanity metric.</p> <p>Community Discovery</p> <p>Find and explore talented developers who are making an impact in the open-source ecosystem.</p> <p>Performance Insights</p> <p>Understand strengths, growth opportunities, and areas where developers can improve their GitHub presence.</p> <p>Technology Behind GitRank</p> <p>GitRank leverages GitHub APIs, data analytics, and intelligent scoring algorithms to process large volumes of contribution data efficiently.</p> <p>The platform focuses on delivering:</p> <ul> <li>Accurate developer insights</li> <li>Scalable architecture</li> <li>Fast profile analysis</li> <li>Transparent ranking methodology</li> </ul> <p>Our Vision</p> <p>We believe every meaningful contribution deserves recognition.</p> <p>GitRank's long-term vision is to become a trusted platform where developers can showcase their impact, discover opportunities, and build stronger professional credibility through their open-source work.</p> <p>Looking Ahead</p> <p>We're continuously improving GitRank and exploring new features, including:</p> <ul> <li>Advanced contribution analytics</li> <li>Developer leaderboards</li> <li>AI-powered profile insights</li> <li>Skill-based rankings</li> <li>Open-source ecosystem intelligence</li> </ul> <p>We'd Love Your Feedback</p> <p>GitRank is built for developers, and community feedback is essential to shaping its future.</p> <p>If you're interested in developer analytics, GitHub insights, or open-source innovation, we'd love to hear your thoughts.</p> <p>What metrics do you think best represent a developer's impact?</p> <p>Let's discuss in the comments.</p> <h1> opensource #github #webdev #developers #programming #saas #buildinpublic </h1> ai github gitrank