Where developers grow together

AI Executive Productivity Assistant

Key Features & Functional Modules 1. Real-Time Gmail Priority Triage Automatically fetches and scores incoming emails (0–99%) based on urgency, financial impact, meeting requests, and document sign-offs. Classifies emails into categories: Urgent Action, Meeting / Calendar, Finance & Legal, Review Needed, General. 2. AI Daily Context Synthesis & Action Item Extraction Synthesizes an executive overview summary directly from the Gmail Priority Triage dataset. Dynamically extracts high-priority Action Items with status tracking (Pending, In Progress, Completed). 3. ☀️ Whole-Day Executive Briefing One-Click Dispatch Aggregates whole-day context across Gmail communications, schedule timeline, and Notion notes. One-click trigger dispatches a rich HTML digest via Swytchcode resend.email.create directly to kushagrathebeginner@gmail.com. 4. Schedule Conflict Resolution Detects overlapping calendar events and provides automated actions (Auto Reschedule, Delegate to Chief of Staff). 5. Notion Executive Workspace Instant creation and synchronization of strategic roadmap notes and board decision logs

AI DevOps Agent — Autonomous Risk-Aware CI/CD

AI DevOps Agent is an intelligent DevOps automation system that analyzes every GitHub commit before it reaches deployment. The problem is that traditional CI/CD pipelines primarily answer "Can this code be built?" but often do not answer "Is this change safe to deploy?" Developers may miss security-sensitive changes, exposed secrets, risky configuration changes, or potentially dangerous code modifications. Our solution creates an automated commit-to-deployment decision pipeline. When a developer pushes code to GitHub, a webhook sends the event to our FastAPI backend. The system retrieves the commit and relevant changes through Swytchcode, which provides a controlled execution layer for API integrations. The AI analyzer evaluates the change across multiple risk factors and produces a risk score from 0–100. The Decision Engine then determines the appropriate action: • LOW/MEDIUM risk → proceed toward automated deployment through Netlify• HIGH/CRITICAL risk → block deployment and create a Jira incident for developer review• Security/secret detection can override the normal deployment decision The complete workflow is: Developer → Git Push → GitHub Webhook → FastAPI → Swytchcode → GitHub API → AI Risk Analysis → Decision Engine → Netlify Deployment OR Jira Incident Swytchcode is used as the execution authority between our AI agent and external APIs. Instead of allowing the agent to directly call GitHub, Jira, or Netlify APIs, API operations are executed through defined Swytchcode tools with structured inputs, authentication, validation, and controlled execution. The project also provides a dashboard showing commit analysis, risk scores, deployments, incidents, analytics, and AI diagnostics. This project demonstrates how AI can be integrated into DevOps not simply as a chatbot, but as an automated decision-making layer inside a real software delivery workflow.

ApexSupport AI

Our project is an AI-powered Customer Support Knowledge Agent that automates the entire customer support workflow. It reads customer emails, understands the issue using AI, searches the company's knowledge base for accurate solutions, generates professional responses, creates Jira tickets for technical issues, and sends real-time customer updates. The goal is to reduce response time, improve support efficiency, minimize manual effort, and deliver a faster, more consistent customer experience through intelligent automation.