You will get an AI face recognition attendance system
Project details
You will get a professional AI-powered Face Recognition Attendance System designed to automate attendance tracking and eliminate manual record-keeping. Using Python, OpenCV, Django, and PostgreSQL, I develop secure and accurate solutions that can detect, recognize, and record attendance in real time. The system can include user registration, attendance reports, dashboards, database integration, and role-based access control. I focus on delivering reliable, scalable, and user-friendly software tailored to schools, colleges, offices, and organizations. Every project includes clean code, testing, documentation, and support to ensure smooth operation and high accuracy.
Machine Learning Tools
BERT, ChatGPT, Python, SQLWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 2 | 4 | Unlimited |
Number of Model Variations | 1 | 2 | 5 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $100
Additional Revision
+$30
Additional Model Variation
(+ 1 Day)
+$50
Web Dashboard
(+ 2 Days)
+$50
Database Integration
(+ 1 Day)
+$50
Deployment & Hosting Setup
(+ 1 Day)
+$65Frequently asked questions
About Avaneesh
Full Stack Web Developer
Raebareli, India - 12:50 pm local time
Engineering and Technology in Rae Bareli, Uttar Pradesh. Having a strong interest in Data Science, Web Development, Data Analytics, I am
eager to apply my skills and knowledge to contribute positively in these areas.
Steps for completing your project
After purchasing the project, send requirements so Avaneesh can start the project.
Delivery time starts when Avaneesh receives requirements from you.
Avaneesh works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review project requirements, identify system features, and plan the face recognition workflow.
Dataset Preparation
Prepare and organize user images, preprocess data, and configure the face recognition model.