I’m completing my Electrical and Computer Engineering bachelor’s degree and I have to submit two separate lab reports focused on computer vision algorithms. I already have the general theme approved, but I need someone to craft the full reports from scratch—clear, concise, academically sound, and fully referenced. What I need • Two standalone lab reports (think of them as Assignment 1 and Assignment 2) built around computer vision algorithms. • Each report should read like a proper lab submission: introduction, brief theory, experimental setup, results, discussion, conclusions, and a properly formatted reference list. • Use well-known tools—Python with OpenCV, MATLAB, or any other standard environment is acceptable as long as the methodology is reproducible. Scope and depth These are undergraduate-level labs, so keep the explanations rigorous yet accessible. I’m not restricting you to a specific algorithm; you may choose any widely studied approaches (e.g., a CNN for image classification in one report and SIFT/SURF feature extraction in the other) as long as the concepts are explained, implemented, and tested on a small, illustrative dataset. Deliverables 1. Report A (PDF or DOCX) with all figures, code snippets, and references embedded. 2. Report B (PDF or DOCX) of similar length and structure, covering a different algorithm. 3. Companion source files or notebooks so I can reproduce the results if needed. Acceptance criteria • Turnitin-safe, original writing • Clear link between theory, experiment, and results in each report • Consistent citation style (IEEE or APA) • Executable code runs without errors on a standard laptop If you can meet these requirements and keep the language at an undergraduate academic level, I’d love to work with you.