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🤝 Top Collaborators
🤓 Latest Submissions
QuotePlot Agent
QuotePlot Agent is a full-stack market intelligence ecosystem that solves the core problem every financial AI hits: the data it needs is locked behind aggressive bot detection, JavaScript-rendered pages, and geo-blocks on financial sites like investing portals, market data providers, and financial news outlets. Bright Data's MCP server is the infrastructure layer that makes QuotePlot possible at production scale. The agent uses Bright Data's web_search and scrape_as_markdown tools to collect live price data, earnings announcements, and financial news from sources that would otherwise block automated access — feeding fresh, real-world signals into the analysis pipeline rather than relying on stale API snapshots. On top of that live data layer, QuotePlot runs a trained SVM pipeline that classifies user intent with 86% accuracy — distinguishing between price queries, trend analysis requests, and news sentiment questions — then routes each to the appropriate model. A predictive engine detects bullish and bearish trend signals from scraped historical and live price patterns, returning structured analysis through a FastAPI backend and visualised in real-time React charts. The result is a financial intelligence agent that operates on the actual live web — not cached data, not rate-limited public APIs — giving retail investors the same real-time market access that was previously reserved for institutional infrastructure.
31 May 2026
BobGuard - AI-Powered Vulnerability Remediation
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
