Artificial Intelligence Services
Bluescarf.ai builds solutions and provides research services in Generative AI, Advanced Audio Processing, Natural Language Processing, Deep Learning, Foundational Models and other AI technologies.
About BlueScarf
We are committed to continuously advancing our knowledge, product development, leveraging various AI technologies (machine learning, natural language processing, computer vision, neural networks, foundational models, GenAI and more ) and methodologies to deliver cutting-edge solutions and sharing all the knowledge to the global community.
Areas of Research
Basic Audio Processing
- Audio Analysis
- Noise, Echo, Silence, Interval, Detection
- Audio Quality (MOS)
Speech Processing
- Speech to Speech
- Key-word based Search in Audio files
- Voice Biometrics
Natural Language Processing
- Prompt Engineering
- Sentiment Analysis
- Natural Language Understanding
Generative Language Models
- Large Language Models
- Foundational Models
- Generative Pre-Trained Transformers (GPTs)
- Open Source LLMs and LMs
- Microsoft Semantic Kernel
- OpenAI Whisper Models
Text Conversion and Processing
- Text to Text
- Text to Speech
- Speech to Text
- Automatic Speech Recognition
Chatbots
- Chatbots (Both Niche Specific and General Purpose)
- AI Humanoid Chatbots
Data Management and Synthesis
- Synthetic Data
- Vector Databases
Advanced Interaction Systems
- AI Operated Support Ticketing Systems
- Meta Seamless M4T
- AI in SONiC (Networking)
AI Model Development and Deployment
- Tiered AI and Generative AI Agents development
- On-Prem and Offline Deployment of AI Models
- Retrieval Augmented Generation (RAG)
Reach out to us at
"info@bluescarf.ai"
for any information.
Explore our solutions
Telecom companies face significant challenges with manual audio file testing, where static methods impede efficient data documentation and analysis, compounded by constraints on sample sizes and confidentiality. Recognizing the need for innovation, our project aims to revolutionize this area through automation, focusing on enhancing functionalities like silence, noise, echo detection, audio quality assessment, and advanced features such as language detection, sentiment analysis, and keyword searches. This tailored automation solution promises to streamline testing and analysis, offering comprehensive insights for decision making and addressing the diverse needs of the telecom industry with a robust and efficient approach.
- Audio Analysis: Silence, noise, and echo detection; audio quality assessment; call duration and participant analysis.
- Advanced Features: Language detection, sentiment analysis, transcription, translation, and keyword-based searches.
- Python
- Pydub
- Pyannote
- OpenAI
- Librosa
Modern AI technologies, including advanced language and image generation models, have significantly enhanced user productivity by automating and streamlining business processes.However, effective integration of these models into business processes requires a creative framework. Semantic Kernel addresses this challenge by facilitating a simpler interaction with AI, allowing users to intuitively integrate models from platforms like Huggingface into on-premisessolutions. This approach enhances prompt engineering and minimizes inaccuracies often seen in AI-generated content, improving efficiency and reliability in AI applications.
- Semantic Kernel
- Hugging face Integration
- Prompt Engineering
- C# Implementation
- On-prem LLM through
Our “Decoding VoIP using AI” project leverages GitHub Copilot for AI-driven analysis of Voice over Internet Protocol (VoIP) technology, providing deep insights into protocol architecture and optimizing Quality of Service (QoS).
- GitHub Copilot:
- Code Analysis: Line-by-line examination of VoIP codebase.
- Documentation Enhancement: Creation of comprehensive, detailed documentation
- Optimization Identification: Highlights potential areas for improvement.
SONiC, an open-source Network Operating System, operates independently on L3 switches without vendor lock-in. We are focused on grasping SONiC’s architecture and understanding key concepts like telemetry for AI application and aim to incorporate AI functionalities into the system. Bi-weekly community meetings gather experts to strategize on AI’s integration into SONiC, fostering collaborative progress.
- GNS3
This project explores synthetic data to enhance AI model training, addressing privacy and data scarcity issues. Synthetic data, generated computationally, offers solutions to challenges posed by privacy regulations and data scarcity. It accelerates model development, particularly in sensitive domains like healthcare, finance and security. And is predicted to dominate AI training by 2030.
- Synthetic Data Generation: Using computer simulations and generative models like GANs and transformers.
- Advanced Models: Leveraging DALL-E and GPT for diverse, high-quality datasets.
- Synthetic Data for AI Model Training
- Lang Chain
- OpenAI API
- Python
- Firebase
- MongoDB
- PowerBI
Introducing our Blog Summarizer Application, designed to instantly provide summaries of blog posts through a simple link input. Utilizing Hugging Face’s advanced summarization models, our app analyzes blog content and delivers key insights in a concise format. This tool is a timesaver, allowing users to quickly understand the essence of articles, improving efficiency and knowledge absorption with minimal effort.
- Hugging Face Spaces Deployment
- Natural Language Processing (NLP) Techniques
- BeautifulSoup
An LLM Foundational Model-based AI tool deployed on-prem server system of organizations enables them to merge AI with proprietary data and create efficiency in work. With support for custom data input and advanced question-answering capabilities, Search X empowers users to extract insights and answers from their confidential data with ease.
- LightningAI Integration
- Python 310 Compatibility
- Litllama Framework
- Llama LLM Models
Faizu.ai is an AI-powered software engineer under development, revolutionizing software development through its unique approach. Positioned as a step towards achieving Artificial General Intelligence (AGI), Faizu.ai possesses the ability to comprehend system requirements, understand workflows, iterate on its own code, and generate fully functional software systems. By interpreting simple commands/prompts, Faizu.ai constructs complex software systems with remarkable precision and efficiency via both voice and textual input.
- Natural Language Understanding
- Code Generation
- Self-Iterative Code Improvement
- GitHub Copilot Integration
- AI Agents
- Sementic Kernel
Leveraging state-of-the-art facial recognition technology, the system aims to automate the process of recording employee arrivals, ensuring accuracy, efficiency, and security.
- OpenCV
- Dlib
- Face Recognition (Python)
A web-based application designed to enable real-time voice translation. Users receive instant translations in another language, maintaining the natural tone of their voice. This innovative tool can simplify communication across language barriers, offering a seamless and accessible solution for multilingual interactions.
- ChatGPT
- GitHub Copilot
- Whisper
- SeamlessM4T
- Google Translate
- Google Text-to-Speech (TTS)
- Python
Unlock the potential of your meetings with MeetingMate, a revolutionary Chrome extension designed to enhance meeting productivity through the power of AI. By seamlessly integrating advanced language models from Hugging Face, MeetingMate transforms the tedious task of minute-taking into a streamlined and efficient process.
- Hugging Face Language Models
- JavaScript
- Python
A groundbreaking module designed to revolutionize the process of creating and integrating chatbot agents into code seamlessly. This innovative solution empowers users to effortlessly generate personalized chatbot agents tailored to their specific needs, all without the need for extensive coding knowledge.
- OpenAI API
- LangChain
- Llama Index
- MySQL
- Flask API
RAG-based chatbot system is tailored to leverage customer data effectively. By integrating advanced AI techniques with customer data, the system enhances user engagement, responsiveness, and overall customer satisfaction.
- Hugging Face
- Mistral 7B LLM
- Vector Databases
- Chroma Vector Database
- Prompt Engineering Tools
RAG-based chatbot system is tailored to leverage customer data effectively. By integrating advanced AI techniques with customer data, the system enhances user engagement, responsiveness, and overall customer satisfaction.
- Hugging Face
- Mistral 7B LLM
- Vector Databases
- Chroma Vector Database
- Prompt Engineering Tools