The latest articles on DEV Community by Akshat Bansal (@akshatbansal426). https://dev.to/akshatbansal426 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fthepracticaldev.s3.amazonaws.com%2Fi%2F99mvlsfu5tfj9m7ku25d.png https://dev.to/akshatbansal426 en Akshat Bansal Sat, 03 Oct 2026 20:45:08 +0000 https://dev.to/akshatbansal426/studybuddy-a-private-local-ai-practice-partner-for-a-college-friend-179g https://dev.to/akshatbansal426/studybuddy-a-private-local-ai-practice-partner-for-a-college-friend-179g <h1> StudyB: A Private Local AI Practice Partner for a College Friend 🎓 </h1> <p><em>This is my submission for the Hacktoberfest Weekend Challenge: Build for a Friend.</em></p> <h2> What I Built </h2> <p>I built <strong>StudyBuddy</strong>, a small AI-powered practice partner for a college friend preparing for technical interviews, vivas, and exams.</p> <p>The problem was simple: sometimes you want to practice technical questions, but there isn't always someone available to practice with.</p> <p>StudyBuddy provides three focused modes:</p> <ul> <li> <strong>Viva Practice</strong> — practices questions one at a time like a viva examiner.</li> <li> <strong>Interview Practice</strong> — focuses on technical interview topics such as Java, DSA, DBMS, and networking.</li> <li> <strong>Explain a Topic</strong> — explains difficult concepts in simpler language with examples.</li> </ul> <p>I wanted to build something small that solves one real problem rather than another generic chatbot.</p> <h2> Demo </h2> <p>The project is designed to run as a local Streamlit application.</p> <p>A short demonstration of the application and its workflow is included with the project materials.</p> <h2> Code </h2> <p>GitHub repository:</p> <p><a href="https://github.com/akshat0042005/StudyBuddy" rel="noopener noreferrer">https://github.com/akshat0042005/StudyBuddy</a></p> <h2> How I Built It </h2> <p>StudyBuddy is built with:</p> <ul> <li>Python</li> <li>Streamlit</li> <li>Ollama</li> <li>Qwen2.5 1.5B Instruct</li> <li>Local HTTP inference</li> </ul> <p>The architecture is intentionally simple:</p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code> text User | v Streamlit UI | v Python Application | v Ollama Local API | v Qwen2.5 1.5B | v Practice / Explanation / Feedback </code></pre> </div> devchallenge weekendchallenge hf26challenge Akshat Bansal Sat, 03 Oct 2026 20:37:30 +0000 https://dev.to/akshatbansal426/hello-everyone-13k5 https://dev.to/akshatbansal426/hello-everyone-13k5 <p>new to community</p>