AI-Based Football Video Analytics – Research Project

AI-Based Football Video Analytics – Research Project I’m looking for an AI/ML + Computer Vision developer/researcher to develop an experimental research prototype + research paper on: “AI-Based Low-Cost Video Analytics System for Assisting Grassroots Football Talent Identification.” Project Scope I already have football video footage. The goal is to build a research-level prototype, not a commercial application. Workflow: Football Video → Preprocessing → Player Detection (YOLO) → Player Tracking (ByteTrack/BoT-SORT) → Movement/Position Analysis → Feature Extraction → Player Performance Metrics → Analytical Player Profile Possible metrics include distance, estimated speed, movement intensity, trajectories, field/zone coverage, and other reliably measurable indicators. Experimental Requirements The implementation must produce genuine quantitative results, including where applicable: -Detection: Precision, Recall, F1, mAP -Tracking: IDF1, ID switches/MOTA -Performance: FPS, processing time -Player-wise performance analysis -Graphs, tables and visualized/annotated video results -Model/approach comparison where feasible No fabricated results. Research Paper Format Abstract → Keywords → Introduction → Literature Review & Research Gap → Methodology → Dataset & Experimental Setup → Experiments & Results → Comparative Analysis → Discussion → Limitations → Conclusion → Future Work → References The paper should include system architecture/workflow, literature comparison table, methodology diagrams, experimental tables/graphs, and relevant visual results. Technology Python, OpenCV, YOLO/PyTorch, ByteTrack/BoT-SORT or suitable alternatives. Pretrained models are acceptable; no need to build a model from scratch. Deliverables -Working prototype + source code -Experimental results -Tables/graphs/visualizations -Architecture/workflow diagram -Complete research paper -Proper academic references Publication Goal: Target a legitimate peer-reviewed Scopus-indexed venue, preferably a suitable IEEE/Springer or other relevant journal/conference, subject to the final quality and current indexing status. Important: This is a research prototype + experimental paper, not a full commercial software system. I already have the football footage. Please apply only if you have experience in Computer Vision/YOLO, tracking, Python, sports analytics and academic research.