I’m honestly just winging it right now, so feel free to stalk my portfolio or GitHub for the details.

leetcode

github

Jaydeep Solanki  • Peerlist

NoteWise is an innovative command-line tool designed to transform YouTube content into comprehensive Markdown study notes, leveraging the power of your chosen LLM without requiring a browser. This tool is ideal for learners and builders seeking repeatable, automatable study workflows from long-form video content. Key features include:<ul><li>AI-powered study notes generation in under 5 minutes with installation via pip, uv, or Docker.</li><li>Support for multiple AI models such as Gemini, OpenAI, Anthropic, and more, all accessible through LiteLLM.</li><li>Concurrent processing of multiple videos and chapters, ensuring efficient use of API and YouTube rate limits.</li><li>Automatic transcript retrieval with language fallback and retries, even for private and age-gated videos.</li><li>Intelligent chunking of transcripts and concurrent chapter processing for enhanced quality.</li><li>Markdown file output with optional quiz and transcript exports, stored locally in an SQLite database.</li><li>Live progress dashboard and CI-friendly options with the `--no-ui` flag.</li><li>Ability to process entire playlists or a list of URLs from a .txt file, with automatic skipping of already-processed videos.</li></ul>NoteWise is built for flexibility, allowing users to switch models with a single flag and configure concurrency to stay within limits. It supports a variety of environments, including CI and containerized setups, making it a versatile tool for modern study workflows.

NoteWise

🎯 What it does: Transforms GitHub repositories into professional, ATS-optimized resume content using AI✨ Key Features:<ul><li>Analyzes your code and generates resume bullet points</li><li>Supports multiple AI providers (Gemini, OpenAI, Groq, Claude)</li><li>Works with both public and private repositories</li><li>GitHub OAuth integration for secure access</li><li>Docker-ready for easy deployment</li></ul>🔧 Tech Stack: Python, FastAPI, Redis, Docker, Tree-sitter for code parsing🚀 Perfect for:<ul><li>Students turning projects into resume experience</li><li>Developers showcasing their work</li><li>Job seekers needing ATS-friendly content</li><li>Anyone wanting to highlight their coding achievements</li></ul>📋 Output: Structured JSON with project titles, tech stacks, achievement bullets, and interview prep questions💡 Bottom Line: Stop staring at blank resume pages - let your GitHub repos write your resume for you!