Financial News and Social Sentiment Analysis System for Stock Market Insights

We developed a market intelligence platform that analyzes financial news, social media trends, and stock price movements to identify market sentiment and trading opportunities in real time. The system combines natural language processing, social data mining, and financial analysis to help traders and analysts understand how market perception impacts stock performance.
Conversational AI Assistant for Financial Data and Insights
We developed a finance-focused chatbot system that enables professionals to query reports, analyze data, and access insights through natural language conversations. The system integrates large language models (LLMs) with structured financial data sources, allowing users to ask questions, retrieve summaries, and generate reports in seconds without manual spreadsheet navigation.
Construction Tender Analysis and Data Extraction System
We developed a document intelligence platform that automates the complex process of analyzing, structuring, and assessing construction tender documents. The system uses AI to extract critical details, evaluate risks, and generate structured insights from multi-format tender files enabling faster, more accurate decision-making in large-scale construction projects.
Research Paper Analysis System
We built an AI system that helps researchers quickly analyze medical and scientific research papers by reading, understanding, and summarizing them automatically. The system extracts all key details like study type, results, sample size, and findings turning lengthy research papers into concise, structured summaries within minutes.
Data Intelligence System for Linking Customer Complaints with Sales Performance
We built a data intelligence and cross-referencing system that connects customer complaints with sales data to identify which product quality issues have the greatest business impact. By integrating complaint analytics from Re:amaze and sales metrics from BigQuery, the system helps teams prioritize fixes, improve product quality, and enhance customer satisfaction based on actual revenue data.
Medical Report Analysis and Summarization System
We developed an AI system that automatically reads, understands, and summarizes medical reports, allowing healthcare professionals to access clear, structured insights within seconds. The system processes diagnostic reports, lab summaries, and clinical documents highlighting key findings and presenting them in an easy-to-interpret format, improving efficiency and reducing human error in report review.
Automated Video Creation and Content Engine
We built an AI-driven marketing content engine that automates the complete creative process from analyzing top-performing ads to generating new, ready-to-publish video campaigns. The system unifies research, scripting, voiceover, and animation into a single workflow, enabling marketing teams to produce high-quality ad content faster and more efficiently.
Automated Marketing Workflow Integration Across Platforms
We built a comprehensive automation ecosystem that unifies marketing, content creation, and data intelligence across multiple platforms, all orchestrated through a single n8n framework. The system eliminates repetitive workflows, integrates 25+ APIs, and automates the full lifecycle of content generation, publishing, analytics, and engagement across social and communication channels.
Digital Twin Simulation for Container Operations

We developed a Digital Twin simulation system to replicate and analyze container operations in a real-world shipping environment. By modeling vessel, crane, and container workflows through discrete-event simulation, it helps logistics teams visualize performance, identify bottlenecks, and optimize operations before implementation.
No-Code Computer Vision Platform

We built a no-code computer vision platform that enables users to create, train, and deploy custom AI models without writing a single line of code. The system simplifies the entire computer vision workflow from data upload and model selection to training, testing, and deployment all through a user-friendly interface designed for non-technical teams.