
In the rapidly evolving landscape of oncology, researchers and investors are often hindered by fragmented data. Triple-Negative Breast Cancer (TNBC) research is currently siloed across disparate sourcesβincluding PubMed, ClinicalTrials.gov, patent databases, and news outletsβmaking manual monitoring slow, expensive, and error-prone. TNBC Insight AI solves this by aggregating, analyzing, and delivering real-time intelligence through a single, unified dashboard. Built on a robust, enterprise-grade architecture using React and a Python/Flask API, our platform leverages OpenAIβs NLP to distill complex publications and trial reports into concise, actionable briefs. The system automates the entire intelligence workflow, allowing users to track drug pipelines, monitor trial enrollment, identify funding signals, and visualize patent landscapes in real-time. By automating these tasks, TNBC Insight AI enables teams to move at the speed of science, ensuring that critical competitive moves and emerging research trends are never missed.
31 May 2026

BobGuard is an AI-powered security audit assistant built to help developers detect, understand, and remediate vulnerabilities in their codebases faster. The platform supports repository scanning for remote GitHub repositories as well as local project folders, then presents findings through a developer-friendly dashboard with severity grouping, OWASP mapping, and issue-level analysis. Instead of stopping at detection, BobGuard integrates IBM Bob to provide contextual AI remediation for each finding, including a plain-language explanation, why the issue matters, recommended remediation steps, and safer fix guidance. This makes the tool useful not only for identifying risks, but also for helping teams move toward secure fixes with less manual research. In our current implementation, a user can submit a repository, review detected findings in the dashboard, select a vulnerability, and click Ask Bob to get AI-generated remediation guidance in real time. The system has been tested locally end-to-end with successful scan and explanation flows, including rendering vulnerability summaries and Bob-generated fix guidance in the UI. BobGuard is designed as a practical secure development companion for students, developers, and teams who want faster feedback loops between vulnerability detection and safe remediation.
17 May 2026

The Autonomous Business Engine is a high-performance, AI-driven bridge designed to automate the entire operational lifecycle of a business, transitioning from initial client contact to final payment. By utilizing ERPNext as the centralized "Brain" for data and AI Agents as the "Hands" for execution, the system creates a production-grade environment that eliminates manual data entry and minimizes human error. The technical architecture is built with Python and FastAPI, serving as a middleware layer that listens for triggers and communicates via REST API. The project features a comprehensive four-phase automation cycle: Autonomous CRM: AI qualifies leads from WhatsApp or email and automatically generates Quotation PDFs. Work Management: Upon quote approval, the AI initializes projects and assigns tasks to team members instantly. Accounts & Invoicing: The system calculates billable items upon task completion and sends final invoices to clients automatically. Reconciliation: An **AI Vision agent** scans payment screenshots to extract transaction details and update the ledger without manual accounting work. This integration drastically increases operational speed, turning processes that typically take days into tasks completed in mere seconds. Ultimately, it provides businesses with a 24/7 professional presence while significantly reducing the need for large administrative or accounting staff
10 May 2026