Description: DOUGH ONES SOURCES PVT.LTD. is seeking an experienced and skilled developer to create a live working project for face and body recognition, along with GPS tracking functionality. The project's objective is to identify working employees within the company premises using face and body recognition technology, as well as incorporate a GPS tracker in tablets to track ongoing vehicles, calculate the distance covered, and predict their location.
Responsibilities: - Develop a face and body recognition system that can accurately identify employees within the company premises in real-time, utilizing technologies such as facial recognition algorithms, deep learning, and computer vision. - Implement an efficient and reliable GPS tracking system in tablets to monitor ongoing vehicles, calculate the distance covered, and predict their current location, incorporating machine learning techniques for predictive modeling. - Integrate the face and body recognition system with the company's existing employee management system, leveraging data integration and API development. - Ensure the project is user-friendly and provides real-time updates on employee attendance and vehicle tracking, employing natural language processing (NLP) techniques for user interaction. - Test and debug the system to ensure optimal performance and accuracy, employing techniques such as cross-validation and model evaluation metrics. - Provide necessary documentation and technical support for the implemented solution, including documentation on model architecture and system requirements.
Requirements: - Strong experience in developing face and body recognition systems, utilizing technologies such as facial recognition algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and computer vision libraries (e.g., OpenCV). - Proficiency in GPS tracking systems and their integration with software applications, including experience with geospatial libraries (e.g., GeoPy, Shapely). - Knowledge of relevant programming languages, such as Python, C++, or Java, along with experience in machine learning frameworks (e.g., scikit-learn) and data manipulation libraries (e.g., pandas). - Familiarity with databases and data management, including experience with SQL or NoSQL databases for data storage and retrieval. - Ability to design an intuitive user interface for the application, incorporating front-end technologies such as HTML, CSS, and JavaScript. - Strong problem-solving skills and attention to detail, with the ability to handle complex data pipelines and optimize algorithms. - Excellent communication and collaboration abilities to work closely with cross-functional teams and stakeholders.
Skills and Qualifications: - Proven experience in developing face and body recognition projects, leveraging deep learning architectures (e.g., CNN, LSTM) and pre-trained models (e.g., VGG, ResNet). - Demonstrated expertise in GPS tracking systems and software integration, utilizing machine learning algorithms for predictive modeling and anomaly detection. - Proficient in programming languages and frameworks related to face and body recognition (e.g., Python, TensorFlow, OpenCV) and GPS tracking (e.g., Python, geospatial libraries). - Strong understanding of computer vision, image processing, data analytics, and machine learning techniques. - Experience with software testing and debugging processes, including model evaluation and performance optimization. - Ability to work independently and deliver high-quality results within the specified timeframe, adhering to best practices in software development and machine learning.
Additional Information: - The project is expected to be completed within [Timeline]. - Contractors will be required to sign a confidentiality agreement to protect sensitive company information. - Regular progress updates and meetings will be required throughout the project duration.
How to Apply: Interested candidates are requested to submit their detailed proposals, highlighting their relevant experience, expertise, and project approach. Please include any relevant portfolio or work samples that demonstrate your capabilities. Proposals should be sent to [Contact Email]. Kindly provide your estimated timeline and project cost in your proposal.
Note: Only shortlisted candidates will be contacted for further discussion. We look forward to receiving your proposals! DOUGH ONES SOURCES PVT. LTD. TEAM.
