You will get Face-Recognition Based Attendance System Integrated with Real time Database
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Top Rated
Project details
In this project, I developed a face-recognition-based attendance system for department staff. Utilizing the Dlib face recognition model, OpenCV, and CVZone, I created a robust solution. The system employs numpy for efficient array operations, pickles for model serialization, and Firebase Admin for real-time database management. Training the model involved using images of three individuals, including myself, ensuring a concise and personalized dataset. The integration of these technologies allowed for accurate face detection, recognition, and seamless attendance tracking. The Firebase real-time database ensured efficient and secure storage of attendance records. This comprehensive solution streamlines the attendance process, providing a reliable and efficient tool for department staff management.
AI Development Type
Deep Learning, Model TuningAI Tools
OpenCVAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$150
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 2 | 4 | |
AI Model Integration | - | ||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$20
Tutorial
+$50
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HR
Hudson R.
Jul 25, 2025
Inquiry About AI and Mobile Development for Vital
MC
Marcus C.
Jun 1, 2024
Data Analyst and Engineer
Amanuel is a very knowledgeable and efficient data engineer. A great asset to any team.
We will get back to in the future for additional projects.
We will get back to in the future for additional projects.
MN
Marco N.
Feb 5, 2024
Research and Compare various AI Models
I have known Amanuel for a long time now, he is my go-to person for all things AI. He is extremely knowledgeable and an expert in the field. I highly recommend him to everyone.
MN
Marco N.
Dec 26, 2023
Create an object detection AI model for refrigerators and turn it into an API
Amanuel is very good at his job. This is probably the 5th project we have worked together on for AI. He is clearly an expert in the field and has knowledge of various domains. Amanuel also completes jobs on time and of very high quality. Not only that, his prices are very affordable for people like me. This and much more is why I keep coming back to him. Give him a chance and I promise you that he won't disappoint. Thank you so much for the great experience once again Amanuel and hope to see you soon.
SP
Sailaja P.
Dec 12, 2023
Python Developer - Depth-Enhanced CNN Model Specialist
Couldn't complete entire work but part he done was good.
About Amanuel
Machine Learning | Computer Vision Expert
100%
Job Success
Gondar, Ethiopia - 5:11 pm local time
**** SERVICE AREAS ****
🟠 Machine Learning:
✅ Machine learning model development and implementation
✅ Data preprocessing and feature engineering
✅ Supervised learning (classification, regression)
✅ Unsupervised learning (clustering, dimensionality reduction)
✅ Deep learning and neural networks
✅ Natural language processing (NLP) tasks
✅ Recommendation systems
✅ Time series analysis and forecasting
✅ Model evaluation and performance optimization
🔴 Computer Vision:
✅ Image classification and object recognition
✅ Object detection and localization
✅ Image segmentation
✅ Facial recognition and biometrics
✅ Image and video analysis
✅ Feature extraction and representation learning
✅ Optical character recognition (OCR)
✅ Pose estimation and tracking
🟣 Model Evaluation and Performance Optimization:
✅ Model validation and evaluation metrics
✅ Hyperparameter tuning and optimization
✅ Performance optimization for scalability and efficiency
✅ Debugging and troubleshooting ML models
**** Proficient in the following PYTHON Libraries for ML/DL projects ****
✔️Tensorflow
✔️ Keras
✔️ PyTorch
✔️ Pandas
✔️ NumPy
✔️ SciPy
✔️ Python Scikit-Learn
✔️ Statsmodels
✔️ Matplotlib
✔️ OpenCV
✔️ PIL
**** Successfully Completed jobs in Upwork ****
➡ Emotion detection using CNN on the FER2013 dataset: Video Classification Deep Learning
➡ Stock price prediction using different predictive algorithms: Need an AI expert for stocks
➡ Computer vision using YOLOv5 PyTorch model: Weapon detection using Yolo and SURF Algorithm
➡ Building Predictive model for stocks (ForEex ): Build me a deep learning AI model from my data
➡ Build speech synthesis model using BARK, Tortoise, and SVC pre-trained models: Voice Cloning text to speech (custom voice)
➡ Create an object detection AI model for refrigerators and turn it into an API
➡ Python Developer - Depth-Enhanced CNN Model Specialist
➡ Research and Compare various AI Models
➡ Data Analyst and Engineer
**** Successfully Completed projects ****
✳ ML-based Stroke prediction
✳ Apple Price Prediction using RNN/LSTM
✳ Sign Language Recognition System using Random-Forest ML algorithm
✳ Alphabet Recognition (EMNIST) based on OpenCV, Convolutional Neural Network (CNN)
✳ Object Detection-DL and OpenCV
✳ ML-based Stroke prediction: LR, RNN/LSTM, Random-Forest, and Decision-Tree algorithms.
✳ AI/DL-based Autonomous navigating and patient follower robot using Nvidia Jetson Nano DK
Steps for completing your project
After purchasing the project, send requirements so Amanuel can start the project.
Delivery time starts when Amanuel receives requirements from you.
Amanuel works on your project following the steps below.
Revisions may occur after the delivery date.
Build the whole developement workflow
Prepare some workflow for the client's specific project usage.
Build the gpraphic system using tools like canva and photoshop.
I already use canvas for graphic display backgrounds.