United Kingdom
C-Me is an innovative platform designed to reimagine the way job seekers present their qualifications and experiences through dynamic video resumes. The platform empowers users to create professional video CVs and enhance their chances of standing out in competitive job markets. For employers, C-Me offers the opportunity to create video job posts to get more engagement from the candidates.
The primary challenge was to develop an innovative platform to make video job posts, video CVs and a virtual interview room to practice interview questions. The system had to be driven with the latest video analysis tools and be capable of recording videos and providing detailed, actionable feedback to users. This feedback needed to include the identification of overly long pauses, detection of recruiter-preferred keywords, and assessment of the overall sentiment and vibe of the applicant's content. The solution had to be cost-effective.
One major challenge was the absence of publicly available technology capable of analyzing videos and delivering comprehensive feedback in a consistent and constructive manner. Existing tools could not offer a full analysis report within a single system. Furthermore, there was no accessible knowledge or resources on how to develop a system that could integrate various open-source solutions effectively. This gap in available technology and knowledge meant that the TechMagic team had to start from scratch, creating innovative solutions to address these issues. They had to brainstorm and develop novel ideas to build a cohesive system that met the needs of video analysis and feedback, overcoming significant technical and conceptual hurdles along the way.
To tackle all the challenges and address technological uncertainties, TechMagic embarked on an ambitious R&D project using the Agile project management methodology, which allowed for iterative development and continuous problem-solving. The solution involved integrating open-source libraries to perform comprehensive video analysis. The AI code was developed using such open-source libraries as AWS Transcribe (later moved to OpenAi Whisper) for converting speech to text for script analysis, AWS Comprehend for extracting sentiment from text, OpenCV and DLib for detecting eye movements and engagement, Librosa for detecting periods of silence and categorizing pauses, and Word Count Calculation for providing feedback on speech pace.
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The core team of C-Me consists of professional experts. The founder, Damian Williams, came up with the idea of creating a platform that can address a clear need to enhance the job application and interview preparation processes. Traditional methods lacked comprehensive, real-time feedback, leaving job seekers unprepared and at a disadvantage in the competitive job market. Damian Williams, a dedicated expert in innovative solutions, collaborated with a competent team of TechMagic professionals to make the idea come true and develop the C-Me platform. We've been working together since 2020, constantly aiming to implement new technology concepts to C-Me and ensure it reshapes the future of hiring.
TechMagic used Agile methodologies for iterative development and continuous improvement. Our services included research and brainstorming, prototype development, system testing, and optimization.
Get a quoteTechMagic provided end-to-end development services for the C-Me platform. Our team ensured the platform’s robust functionality, seamless user experience, and integration of cutting-edge technologies.
Get a quoteWe integrated state-of-the-art video analysis tools, combining AI and Natural Language Processing (NLP) technologies to deliver comprehensive user feedback. We used AWS Transcribe for detailed script analysis, implemented AWS Comprehend to assess content tone, utilized OpenCV and DLib for eye and facial expression tracking, and applied Librosa to detect and categorize speech pauses.
Get a quoteTechMagic’s AI integration brought together multiple open-source libraries to create a unified analysis tool. We combined AI tools like AWS Transcribe, AWS Comprehend, OpenCV, DLib, and Librosa into a cohesive system. We developed custom algorithms for seamless interaction between AI components. We ensured stability, accuracy, and efficiency through extensive testing.
Get a quoteOur UI/UX design professionals focused on creating intuitive and user-friendly interfaces that enhance the candidate and employer experience. We leveraged modern design principles and best practices to ensure that the final product not only looks great but also functions seamlessly, drives user engagement and increases satisfaction.
Get a quoteTechMagic continues to provide ongoing support and enhancements for the C-Me platform, focusing on further refining emotion and expression detection capabilities. Our commitment to continuous improvement ensures that C-Me remains at the forefront of video-based job application and interview preparation technology.
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AWS Transcribe
AWS Comprehend
AWS Lambda
AWS Step Functions
AWS Elastic Transcoder
AWS S3
OpenAI Whisper
GPT-4
OpenCV
DLib
Librosa
Remotion
MongoDB Atlas
The project pushed the boundaries of existing technology by:
Integrating multiple open-source video analysis tools into a single, cohesive platform.
Innovations in the field of natural language processing and computer vision to provide detailed, actionable feedback to users.
The development of the C-Me platform was spearheaded by a dedicated team of TechMagic experts. TechMagic is proud to contribute to such an innovative product. The dedicated team of experts working on the project consists of a Project Manager, CTO, UI/UX Designer, Frontend Developer, Backend Developer, and QA.
The C-Me platform now provides detailed, AI-driven feedback on video job posts and CVs, improving user performance and presentation.
Integrated tools offer comprehensive analysis, including sentiment, facial movement, and speech pattern detection, making feedback more actionable.
The platform’s advanced video analysis capabilities significantly increase user engagement and preparation effectiveness.
Ongoing support and enhancements ensure C-Me remains a cutting-edge solution in the job application and interview preparation market.
We cover the entire software product development process and provide support services afterward within the quality management system. Technical expertise allows us to cover full-cycle development, incorporating business vision at every project stage. Our experience in multiple industries makes TechMagic a reliable partner for software development outsourcing resulting in the commercial success of your product.
As a software product development company, we create high-quality products starting from PoC or MVP development for testing your product idea to building complex enterprise software. We ensure the digital health of software solutions by providing ongoing automated testing of product features.
We discover market trends to offer the most cost-efficient solution. Our web application development services it's not just about software engineering. It's about finding the right technology stack for your business needs and developing future-proof custom software development solutions. Custom software development backed by market research, strategy consulting, project management, and agile development process.
