BradykinesiaCam — AI-Powered Parkinson's Disease Finger Tap Assessment System
BradykinesiaCam is a clinical-grade computer vision platform that analyzes finger-tapping videos using MediaPipe Hands to score bradykinesia severity against UPDRS Part III benchmarks, classifying disease and medication state with 91% sensitivity and 97%.
Technology Used
Django | Python | MediaPipe Hands | OpenCV | Celery | Redis | SciPy | NumPy | ReportLab | Django REST Framework | Tailwind CSS | Alpine.js | Chart.js | SQLite | PostgreSQL
BradykinesiaCam — Computer Vision System for Parkinson's Bradykinesia Assessment
BradykinesiaCam is a Django-based clinical decision support platform that uses computer vision and signal processing to assess bradykinesia — the slowness of movement that is one of the cardinal symptoms of Parkinson's Disease. By analyzing short finger-tapping videos recorded on any standard camera, the system produces UPDRS Part III (item 3.4) aligned scores covering Speed, Amplitude, and Rhythm, and delivers a composite severity rating that classifies whether the subject is a Healthy Control or a Parkinson's Disease patient. For PD patients, it further determines medication state as ON, OFF, or UNCERTAIN based on motor kinematic data.
This project is an excellent choice for final year students in Computer Science, Biomedical Engineering, and Artificial Intelligence programs who want to build a real-world clinical AI application. If you are looking for final year projects with source code that stand out in viva and dissertation evaluations, BradykinesiaCam delivers both technical depth and healthcare relevance in a single package.
What is Bradykinesia and Why Does It Matter
Bradykinesia refers to the progressive slowness, reduced amplitude, and irregular rhythm of voluntary movements observed in Parkinson's Disease. Clinicians typically assess it using the MDS-UPDRS Part III scale, which relies on manual observation — a process that is time-consuming, subjective, and inconsistent across examiners. BradykinesiaCam automates this assessment using a video-based pipeline that extracts precise kinematic measurements from finger-tapping tasks, achieving a Pearson correlation of 0.740 with clinical UPDRS scores.
Core Features
- MediaPipe Hand Landmark Extraction: Each video frame is processed through MediaPipe Hands' 21-point skeleton model. The system tracks the Euclidean distance between thumb tip (landmark 4) and index tip (landmark 8) across all frames to compute the tap aperture series at the native recording frame rate.
- SciPy Peak Detection for Tap Events: The aperture signal is inverted so finger closures become peaks, and scipy.signal.find_peaks isolates individual tap cycles. This produces accurate tap timestamps even with minor hand tremor or lighting variation.
- UPDRS-Aligned Scoring Engine: Three independent scores are computed — Speed (taps per second), Amplitude (maximum aperture normalized to hand span), and Rhythm (coefficient of variation of inter-tap intervals). A weighted composite score (0.35 Speed + 0.35 Amplitude + 0.30 Rhythm) maps directly to the 0–4 UPDRS severity scale.
- Disease State Classification: A composite score of 1.5 or above predicts Parkinson's Disease; below 1.5 predicts Healthy Control. The model reaches 91% sensitivity and 97% specificity on the validation set.
- Medication State Detection: For patients classified as PD, the system further determines whether they are in a medication ON state (composite score of 1.5 or below), OFF state (above 2.5), or an UNCERTAIN window in between.
- Asynchronous Video Processing with Celery and Redis: Uploaded videos are queued as Celery tasks, allowing the web interface to remain responsive during computationally intensive CV processing. A graceful fallback to synchronous processing is available for development environments without Redis.
- PDF Clinical Report Generation: Each analysis session produces a downloadable PDF report built with ReportLab, covering all kinematic metrics, UPDRS scores, classification outcomes, and recording metadata.
- Patient Management Dashboard: Clinicians or researchers can manage multiple patients, upload video sessions per patient, and track longitudinal assessment history through a clean Tailwind CSS and Alpine.js interface.
- Demo Fixture Data: Three pre-computed patient records are included as Django fixtures, making it straightforward to explore the full UI without recording videos during initial setup.
- PostgreSQL-Ready Architecture: The project ships with SQLite for local development and is pre-configured for a PostgreSQL switch via DATABASE_URL in the environment file, making it deployment-ready on Railway, Render, or a custom VPS.
Technology Stack
- Backend: Django 4.2, Django REST Framework
- Async Processing: Celery, Redis
- Computer Vision: MediaPipe Hands 0.10, OpenCV
- Signal Processing: SciPy, NumPy
- PDF Reports: ReportLab
- Frontend: Tailwind CSS, Alpine.js, Chart.js
- Database: SQLite (development), PostgreSQL (production)
Applications and Use Cases
- Telemedicine Screening: Patients can record finger-tap videos at home and upload them for remote neurological assessment, reducing the need for in-clinic visits for routine monitoring.
- Medication Response Tracking: The ON/OFF medication state classifier provides an objective tool for tracking how well a patient's dopaminergic medication is working across different times of the day.
- Clinical Research: Researchers studying Parkinson's motor biomarkers can use the kinematic export data and PDF reports to build longitudinal datasets without manual annotation.
- Medical AI Final Year Project: This is one of the most technically differentiated AI final year projects available on the CodeAj Marketplace, combining computer vision, signal processing, clinical scoring systems, and asynchronous web architecture in a single coherent codebase.
- Hospital Prototype Deployment: With its PostgreSQL-ready backend, Nginx media serving guide, and Celery process manager support, the project can be adapted into a working hospital prototype for neurological outpatient departments.
Performance Benchmarks
- Sensitivity: 91%
- Specificity: 97%
- UPDRS Pearson Correlation: r = 0.740
What You Get with This Project
When you purchase BradykinesiaCam from the CodeAj Marketplace, you receive the complete Django source code with all CV engine modules, pre-configured settings, demo fixture data, and a detailed setup guide. Our team also offers project setup sessions with full source code explanation, custom project reports, IEEE-format research papers, and presentation slides as add-on services. Students looking for Python final year projects with source code and strong academic documentation support will find everything they need in one place.
Add-On Services Available
- Idea Implementation — Custom project creation tailored to your college requirements
- Project Setup and Source Code Explanation sessions via video call
- Custom project report, IEEE research paper, and presentation slides
BradykinesiaCam is a clinical decision support tool. All results must be reviewed and interpreted by a qualified healthcare professional before any clinical use.
Frequently Asked Questions
Extra Add-Ons Available – Elevate Your Project
Add any of these professional upgrades to save time and impress your evaluators.
Live 1-on-1 Mentorship
Personal session with an expert developer
Project Setup
We'll install and configure the project on your PC via remote session (Google Meet, Zoom, or AnyDesk).
Source Code Explanation
1-hour live session to explain logic, flow, database design, and key features.
Want to know exactly how the setup works? Review our detailed step-by-step process before scheduling your session.
₹1499
Custom Documents (College-Tailored)
- Custom Project Report: ₹1,500
- Custom Research Paper: ₹1,000
- Custom PPT: ₹800
Fully customized to match your college format, guidelines, and submission standards.
Project Modification
Need feature changes, UI updates, or new features added?
Charges vary based on complexity.
We'll review your request and provide a clear quote before starting work.
Project Files
ReviewsWhat Our Students Say
He explained the project clearly and thoroughly. He was very supportive throughout the process and was always available to help when needed. His guidance and assistance made it easier to understand the project and complete tasks effectively.
I had a very good experience with CodeAj Marketplace. The team is professional and supportive, especially Ajay Pandit sir who guides clearly throughout the project. The work was completed neatly and according to requirements. A great place for learning and project development. Highly recommended for students and developers.
Excellent explanation! Concepts are explained in a very simple and understandable way. It really helped me a lot in improving my knowledge. Great work!
Codeaj was really helpful with my project, especially during the customization part. He didn't just do the work but also took the time to explain everything, from the project structure and database to the code itself. It was a huge help, especially for students trying to understand how everything fits together. I really appreciated his support and the way he made things easier to follow.
Working with CodeAj Marketplace has been such a positive experience. The projects delivered are original, carefully crafted from scratch, and tailored to meet expectations with impressive attention to detail. What really makes him stand out is his willingness to go the extra mile — not just in creating outstanding work, but also in helping others understand how everything functions. He explains things clearly, addresses questions patiently, and ensures the whole process feels like a learning journey instead of just a handover. On top of the technical expertise, his calm and approachable personality makes communication effortless. No unnecessary stress, just smooth collaboration and genuine support. I truly value the dedication he brings to his work and would highly recommend him to anyone in search of high-quality, authentic projects.
I purchased a project from him recently and I have to say it's one of the best decisions I've made. The project was absolutely beautiful, built completely from scratch with no shortcuts, and perfectly matched what I wanted. What makes him stand out is not just his ability to create anything we ask for, no matter how complex, but also the way he helps us understand every part of it. He patiently explains the process, clears doubts, and makes sure we actually learn from the project instead of just using it. On top of his skills, his personality is amazing — he's calm, chill, and very friendly to talk to. There's no stress when working with him, only smooth communication and genuine support. I truly appreciate the effort he puts in and would highly recommend him to anyone looking for original, high-quality projects.
I received my project from CodeAJ Marketplace on time, and the work was very neat and well-presented. The team maintained good communication and delivered everything as promised. I appreciate their timely completion and professional approach.
I sincerely thank Mr. Ajay Pandit for his constant support and valuable guidance throughout the project. His timely advice, encouragement, and expertise greatly contributed to the successful completion of the work. I'm truly grateful for his mentorship.
I had an outstanding experience with CodeAj while developing my mobile app. Their team was incredibly cooperative, ensuring every customization I requested was implemented flawlessly. The service was top-notch, and the final product exceeded my expectations. Highly recommend CodeAj for anyone seeking professional and reliable app development services! 11/10
I would like to sincerely thank Ajay Pandit for providing me with the project. His guidance and explanation of the system's architecture, modules, and AI integration were extremely helpful in understanding the project thoroughly. Ajay's support played a key role in helping me implement the hotel booking and payment module effectively. His willingness to clarify concepts and walk me through complex logic made the learning process smooth and insightful. I truly appreciate his mentorship and the time he dedicated to ensuring I was well-prepared for both the development and presentation of this project.
I had a great experience with the project I purchased. It was well-structured and met all my expectations. The team was responsive and supportive throughout, addressing all my queries promptly. Highly recommended for anyone looking for quality projects and good service.
I'm really thankful to Codeaj for helping me with my project explanation and guiding me throughout. Your support made everything much easier and clearer.
The project he made was wonderful, and the way he patiently listened, understood all my ideas and presented them so well in the project, was amazing. I would highly recommend him to everyone.
I would like to sincerely thank Ajay Pandit for providing me with the project. His guidance and explanation of the system's architecture, modules, and AI integration were extremely helpful in understanding the project thoroughly.
Too good experience, I love their projects and they are available for you to help, they are incredible good. Must avail their services. I am happy customer.
The team was very supportive and their explanation was very good, they are clarifying each and every doubts with lots of patience. Highly recommended for quality projects.
I really like their work and they made good project in less amount.
Thank you, CodeAj Bro, for supporting the Doctor Appointment System project. Your guidance during the project setup, installation, and report creation was very helpful and greatly appreciated.
One of the best Software Developer provide the best setup environment for project, good explain skills, and good technical skills, step by step explain project through google meet and budgetly price project Available.
Thank you so much for your excellent work on our project! Your kindness and clear explanations made the entire process smooth and enjoyable. Highly recommend!
Really very supportive, helpful and kind, loving nature. Available for any time for any query, highly recommend to get projects from him.
Awesome projects. They support on setting up the project after purchasing. Completely legal one. Affordable projects too.
Code AJ guide team are very formal, friendly to setup project step by step and explain each question 🙂
Thank you codeAj, Best site to get your project done quickly, with fast responses and instant clarification of any project-related doubts.
I really liked the work, and they solved my issues very well too.
They provide very good service and code also running condition and they fulfill all the queries it's very helpful.
Really helpful, makes things easy to understand and very kind nature, you can look forward to get help from here.
Thank you so much for building the Project for my requirement.
Looking forward to many many collaborations and always tend to buy the projects.
I am so satisfied with codeAJ because of his help.
Thank you so much sir for your support and help.
Ajay bro has excellent knowledge and his response is nice.
This is a great app I love it with good functionality.
Thank you so much for your help and support.
Highly recommended for the projects.
Loved the project work.
It is super for students.
I recently purchased this project online and I am very satisfied with it. The project was well-designed, properly organized, and included all the necessary files and documentation. The source code was clean, easy to understand, and worked as expected. A special appreciation for the project explanation and setup session. The session was detailed and easy to understand, covering both the project implementation and the complete setup process. All my questions were answered clearly, which helped me understand the project much better. Thanks for giving your time.