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    •  
      code_for_government #321611
    New Feature development
    Face Recognition
    DigiLocker - Face Recognition
    Nayan Ravindra Potdukhe (nayan_potdukhe)
    Active
    Python, Natural Language Processing (NLP)
    High
    Campaign

    This project focuses on developing a comprehensive face authentication system that integrates face verification and anti-spoofing capabilities. A diverse dataset was prepared, featuring individuals from various demographics and capturing a wide range of face shapes. This dataset was enhanced using PyTorch through image augmentation techniques, such as contrast adjustments, to improve variability and robustness. Care was taken to ensure that the dataset was balanced and that all images maintained consistent dimensions, which is crucial for effective model training.

    The MobileNetV2 architecture may be selected for its efficiency and accuracy. Fine-tuning should be conducted by increasing the number of epochs and adjusting the learning rate, allowing the model to learn effectively from the diverse dataset. Different lighting conditions may be also considered to ensure robust performance in real-world scenarios.

    The expected outcome of this project is a reliable face authentication system capable of identifying spoofed faces across various devices, independent of pixel resolution. By training the model on a well-curated dataset with applied augmentations, it aims to effectively detect unauthorized access attempts while maintaining high accuracy in diverse environments. This capability is essential for enhancing security in applications requiring face verification, ultimately leading to a more secure user experience. The combination of thorough dataset preparation, model optimization, and robust testing across various conditions will ensure effective performance in real-world applications.

    1. Clone the Repository: Start by cloning the project’s repository.
    2. Create a Branch: Use Git to create your own branch for the task.
    3. Generate a Pull Request: After completing your coding, submit your task by generating a pull request.

    https://openforge.gov.in/plugins/git/ddc/face_detection.git

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    2024-10-30 10:30
    2025-02-17

    Organization Type : Government Publisher Name : DigiLocker, National e-Governance Division (NeGD)

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    #321611
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    User avatar
    Ashishkumar Rathod (ashishrathod)2026-04-20 23:59

    Respected Sir/Madam,

    I want to contribute to this task.

    I am a B.Tech IT student at Dharmsinh Desai University. Skills: C++, Python, OpenCV, Qt, Computer Vision (YOLO, ResNet), Linux, Git, basic CUDA/TensorRT. Project: Food inspection system with defect detection and image analysis.

    Please let me know the next steps.

    Regards, Ashish Rathod Email: 22itubs086@ddu.ac.in

    User avatar
    Murru Sai Yaswanth (neural_mechanic)2026-02-10 02:14

    Sir, Sharing my contact details below:

    Personal: murrusaiyaswanth@gmail.com

    Institute: 2022mcb1271@iitrpr.ac.in

    Please let me know if this is appropriate or if there is a preferred channel for communication.

    Looking forward to your response. Thank you.

    User avatar
    Murru Sai Yaswanth (neural_mechanic)2026-02-10 02:05

    Hi Sir @amitkr12, Hello Team,

    I’d like to contribute to this project. My work is primarily in computer vision representation learning, spanning segmentation and classification across multi-modal data.

    I have built end-to-end PyTorch vision pipelines using a wide range of architectures, including CNN-based models (ResNet variants, U-Net / nnU-Net, lightweight mobile backbones) as well as Vision Transformers (ViT-style models) and vision–language models such as CLIP for multimodal representation learning. My work involves handling class imbalance, small-object detection, and domain shift, along with designing two-stage inference systems (localization → classification/segmentation), applying layer freezing and fine-tuning strategies, and optimizing models for real-time and compute-constrained deployments.

    I tried searching for the project repository but couldn’t locate it. Could you please share the repository link or indicate where contributions should be made?

    I look forward to your guidance on the next steps. Thank you Sir.

    User avatar
    Sheshank Singh (sheshank)2025-12-25 10:15

    Hello Team,

    I’m interested in contributing to the Face Authentication with Anti-Spoofing project. I have experience with PyTorch, computer vision model training, and dataset augmentation, including lightweight architectures like MobileNet.

    Could you please clarify: Whether any specific anti-spoofing approach or evaluation metrics are preferred? Should the submission include documentation/results along with the code?

    Looking forward to your guidance so I can proceed accordingly. Thank you.

    User avatar
    Arjun Prajapati (arjunprajapati)2025-06-19 16:24

    I'm interested in working on and contributing to this wonderful project. As a data science and AI practitioner, I would be glad to support the project by contributing high-quality, anonymized datasets or AI models aligned with India's AI goals.

    User avatar
    Khyati Chattree (khyati_c)2025-04-13 21:10

    Hello, I am Khyati, I am interested to work in this project. Can I know how I can contribute now?

    User avatar
    Amit Kumar (amitkr12)2025-01-23 15:43

    @Ms. Prea and Mr. Nayan kindly update your mobile numbers in the profile so that I can add you in the community

    User avatar
    Prea Binu Varghese (prea)2024-12-04 16:47

    My name is Prea Binu Varghese i am study at indira group of insitutes,pune i am interested

    User avatar
    Sanchita Bajaj (sanchita)2024-11-04 12:43
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    Sanchita Bajaj (sanchita)2024-11-04 12:42
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    Ajoy Agarwal (ajoy)2024-11-04 09:31
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    • Product Name
      -Face recognition  
      +Face Recognition  
    • Title
      -DigiLocker - Face recognition  
      +DigiLocker - Face Recognition