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🤝 Top Collaborators
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🤓 Latest Submissions
DealRadar — AI-Powered Supplier Intelligence Agent
DealRadar — AI-Powered Supplier Intelligence Agent PROBLEM: Finding reliable suppliers takes days of manual research across dozens of websites, comparing prices, reading reviews, and calculating margins. This leads to missed opportunities and poor supplier choices. SOLUTION: DealRadar is a multi-agent system that automates supplier research using Bright Data's real-time web infrastructure and Groq AI, delivering results in under 15 seconds. HOW IT WORKS — 3 AI Agents: 1. Finder Agent: Uses Bright Data's Web Unlocker API to discover suppliers in real-time, bypassing bot detection to access data previously inaccessible to automated systems. 2. Verifier Agent: Powered by Groq LLaMA 3.3 70B, analyzes supplier quality and reputation, assigning Low/Medium/High risk scores with detailed review summaries. 3. Margin Agent: Calculates profit potential by estimating retail prices, computing margins, and projecting monthly revenue to identify best ROI opportunities. KEY FEATURES: - Real-time supplier discovery via Bright Data - AI-powered risk assessment and verification - Profit margin and ROI projection - Live agent activity feed - Results in under 15 seconds TECH STACK: - Backend: Python, FastAPI, Uvicorn - AI: Groq API (LLaMA 3.3 70B) - Web Data: Bright Data Web Unlocker + MCP - Frontend: React, Vite, Tailwind CSS IMPACT: DealRadar democratizes supplier intelligence for SMBs. What took days now takes 15 seconds — enabling faster decisions and higher profit margins. Built for the Bright Data AI Agents & Web Data Hackathon.
31 May 2026
DevGuard AI
Project : DevGuard AI Problem In modern software engineering, sudden production runtime crashes create major operational bottlenecks. When backend services fail, downtime rapidly increases and impacts business continuity. Traditionally, Site Reliability Engineers (SREs) and developers must manually inspect unstructured terminal logs, identify issues such as syntax errors, variable mismatches, or runtime exceptions, and then write and deploy fixes manually. This reactive debugging workflow is slow, error-prone, and increases operational latency during critical incidents. The Solution DevGuard AI is a 24/7 autonomous, self-healing DevOps SRE assistant that transforms reactive debugging into a proactive AI-driven recovery system. Instead of simply reporting failures, DevGuard AI automatically intercepts crashes, analyzes the root cause, generates fixes, and deploys hot-patches directly to the codebase in real time without requiring manual intervention. The system operates in a closed-loop simulation environment. When a Python backend application crashes due to an unhandled runtime exception or environment issue, DevGuard AI instantly captures the raw terminal crash logs (crash_log.txt). The unstructured logs are then processed using the advanced reasoning capabilities of the gemini-2.5-flash model through the Google GenAI SDK. Using strict Pydantic response schemas, the AI engine generates deterministic structured JSON outputs containing a detailed diagnosis and corrected production-ready code. The autonomous execution layer reads the JSON payload, updates the broken source files, deploys the hot-patch, and re-executes the application automatically. Within seconds, the system restores the server to a stable and fully operational state. Technical Stack • Python 3 for backend orchestration and file-system automation • Google GenAI SDK with gemini-2.5-flash for AI-driven reasoning and code remediation • Pydantic structured schemas for deterministic JSON outputs
19 May 2026
ContractLens — See every risk before you sign
Every business signs hundreds of contracts every year—NDAs, vendor agreements, SaaS subscriptions, and employment offers. Lawyers charge $300+/hour to review them, so most small businesses and startups end up signing blindly, getting burned by hidden auto-renewals, unlimited liability clauses, vague IP terms, and one-sided termination rights. ContractLens fixes that. Upload any contract PDF, and our AI agent—powered by Google Gemini 2.5 Flash—returns a complete risk analysis in 30 seconds: - Risk score (1–10) with color-coded severity, displayed as an animated dashboard gauge - Identified risks — each tagged with severity, plain-English explanation, and direct quote from the offending clause - Plain-English summary of what you're actually agreeing to - Negotiation strategy with concrete replacement language for every problematic clause - Conversational chat — ask follow-up questions grounded in the actual document The dashboard surfaces all of this with a refined dark-mode interface featuring glassmorphism cards, Plotly-powered risk visualizations, and premium typography signaling professional legal tech quality. ContractLens isn't a generic chatbot; it's a specialized AI agent using Gemini's structured JSON output for reliable, parseable results, meaning the UI can render rich, color-coded insights rather than walls of free-form text. Temperature is set to 0.2, ensuring the same contract returns nearly identical analysis across reruns—critical for a tool people need to trust. Target market: every business and individual that signs contracts—universal. Business model: freemium → per-document pricing → SaaS subscription.
19 May 2026
