Projects

At NeuralFrameAI, we offer a state-of-the-art custom invoice reading solution designed to streamline and automate the extraction of critical information from invoices. Leveraging advanced AI technologies, our solution is highly adaptable and can be tailored to meet the specific needs of any client.

Key Features

Customizable Integration: Our solution is built to seamlessly integrate with any system, ensuring that the extracted data can be directly fed into your existing workflows, whether it's ERP systems, accounting software, or custom databases.

Advanced AI Models: Utilizing the latest advancements in AI, our pipeline employs cutting-edge object detection, character recognition, and Named Entity Recognition (NER) models. This ensures high accuracy in extracting key invoice details, such as dates, amounts, vendor names, and more.

Deployment Flexibility: Whether on-premises or in the cloud, our solution is fully deployable anywhere as per the client's requirements. This flexibility allows you to maintain control over your data and infrastructure.

Optimized Performance: With our custom-built and optimized training and inference pipeline, the solution is not only fast but also efficient, capable of handling large volumes of invoices with ease.

Cost-Efficient and Scalable: We understand that each client has unique needs. Our pricing model is flexible and varies based on the level of customization and deployment preferences, ensuring a cost-effective solution that scales with your business.

Why Choose NeuralFrameAI's Invoice Reading Solution?

Tailored to Your Needs: We work closely with you to customize the solution, ensuring it fits seamlessly into your existing processes and meets all your specific requirements.

Easy Integration: Our solution is designed for easy integration, making it simple to incorporate into any system with minimal disruption.

State-of-the-Art Technology: Built with PyTorch and employing the latest AI models, our pipeline delivers high accuracy and performance.

Deployment Flexibility: Deploy the solution wherever you need it—whether on-premises or in the cloud.

NeuralFrameAI presents an innovative question generation system designed to assist both students and teachers in creating high-quality questions from academic material. Whether for study aids or exam preparation, this system offers a seamless way to generate tailored questions from any given text.

Key Features

Dynamic Question Generation: Input a paragraph, set your preferences such as the number of questions and their type (objective or subjective), and let our system generate questions that cater to your specific needs.

Hybrid Architecture: Our solution employs a hybrid architecture that combines the power of Large Language Models (LLMs) with traditional models, ensuring both the depth and diversity of the generated questions.

Versatile Use Cases: Ideal for students preparing for exams or teachers creating quizzes, this system allows users to generate questions for a wide range of academic topics.

Future-Ready Platform: While currently focused on question generation, we have plans to evolve this into a comprehensive exam-taking platform, complete with a variety of features to support diverse learning and assessment needs.

Client-Centric Offering: For clients who require this system, we offer robust APIs and an intuitive dashboard, making integration and usage straightforward and effective.

Why Choose NeuralFrameAI's Question Generation System?

Customizable and Adaptive: Tailor the question generation process to your specific needs, whether you're preparing for exams or creating learning materials.

Cutting-Edge Technology: Our hybrid approach ensures that the generated questions are not only accurate but also contextually relevant, leveraging the strengths of both LLMs and traditional models.

Scalable Solution: As we continue to enhance this system, clients can look forward to a platform that grows in capability, potentially becoming a full-fledged exam-taking environment.

Seamless Integration: With provided APIs and a user-friendly dashboard, implementing this system into your existing educational tools is hassle-free.

NeuralFrameAI introduces an advanced information extraction system designed to transform large and complex queries into structured, actionable insights. Building upon the latest advancements in AI, our system provides unparalleled flexibility and precision in extracting data from extensive documents.

Key Features

Structured Output from Any Query: Our system is capable of processing and transforming large queries into structured output in any format required for your specific integration needs. Whether you need data in JSON, XML, or any custom format, our solution delivers with precision.

Custom GPT-3 Pipeline: Leveraging our custom-built GPT-3 pipeline, the system goes beyond traditional information extraction methods, providing a deeper understanding and more accurate structuring of the content.

Multi-Format Input Handling: We support a wide range of input formats, including DOCX, PDF, XML, and JSON. This flexibility allows you to feed large documents directly into the system, simplifying the process of extracting and structuring the necessary information.

API Integration: For clients looking to incorporate this system into their existing workflows, we offer robust APIs that make integration seamless and efficient, ensuring that you can access structured data with minimal effort.

Why Choose NeuralFrameAI's Information Extraction System?

Highly Advanced and Customizable: Our system is designed to be more advanced and adaptable than existing solutions, offering you the flexibility to extract information in the exact format you need.

Powerful AI Engine: Built on a custom GPT-3 pipeline, our system delivers high accuracy and relevance in data extraction, providing structured outputs that are ready for immediate use.

Seamless Integration: We provide easy-to-use APIs for clients, enabling quick integration into your systems for real-time data processing and extraction.

Versatile Input Handling: No matter the format of your large documents, our system can process and extract the required information efficiently, saving you time and resources.

NeuralFrameAI has developed a sophisticated full-stack web application designed to revolutionize store management through intelligent automation and predictive analytics. This fully managed system was created for a client looking to enhance their retail operations, specifically focusing on sales prediction and inventory management.

At the core of this system lies a powerful machine learning engine, built to handle the complexities of retail environments. The application continuously analyzes a wide range of variables to predict sales trends accurately. By employing multiple machine learning models, the system adapts to changing patterns in consumer behavior, seasonal fluctuations, and market dynamics, providing the client with a dynamic tool for optimizing inventory levels and maximizing profitability.

Advanced Sales Prediction

One of the system's primary strengths is its advanced sales prediction capabilities. Leveraging diverse datasets such as historical sales data, promotional activities, and external factors like market trends and economic indicators, the system produces highly accurate forecasts. This enables proactive decision-making, helping the client to strategize for peak sales periods, manage discounts, and avoid revenue losses due to stock shortages.

Real-Time Inventory Management

In addition to sales prediction, the system offers comprehensive inventory tracking and management capabilities. By integrating with the client's existing databases and point-of-sale systems, it provides a unified view of inventory status, including current stock levels, reorder points, and expected delivery times. The system's intuitive dashboard presents this information in a user-friendly format, allowing for quick assessment and action. With real-time alerts and automated reordering processes, the system ensures optimal stock levels are maintained at all times, reducing manual oversight and errors.

Seamless On-Premises Deployment

The deployment of this system was tailored to the client's specific requirements, opting for an on-premises setup to ensure data security and compliance with internal IT policies. Our team worked closely with the client's IT department to seamlessly integrate the application into their infrastructure, ensuring minimal disruption to daily operations. The result is a robust, secure, and scalable solution that empowers the client to manage their store operations with greater efficiency and foresight.

Enhanced Customer Experience

By accurately predicting sales and maintaining optimal inventory levels, the system indirectly contributes to an improved customer experience. Customers benefit from better product availability and reduced instances of stockouts. The system's predictive capabilities also enable the client to implement targeted promotions and personalized offers, driving customer engagement and loyalty.

Scalability and Future Enhancements

Designed with scalability in mind, this store management system can evolve alongside the client's business. Whether expanding to new locations or incorporating additional data sources for enhanced analytics, the system is built to accommodate future growth and feature enhancements. NeuralFrameAI remains committed to ongoing support and development, ensuring that the system continues to meet the client's needs in an ever-changing retail landscape.

NeuralFrameAI's store management system not only demonstrates our expertise in developing full-stack applications but also showcases our ability to leverage advanced machine learning techniques to solve real-world business problems. By providing a tool that learns and evolves with the business, we have enabled our client to stay ahead in a competitive market, making informed decisions that drive growth and customer satisfaction.