# Current-AI | Sherwin Vishesh Jathanna > πŸ† Best Use of MongoDB Atlas at Hacks for Hackers 2026. Built Current-AI, an AI-powered project management platform that converts Discord conversations into st… Source: https://www.sherwinvishesh.com/project/current-ai Copyright 2026 Sherwin Vishesh Jathanna. Text may be quoted with attribution. The design and source code are not licensed for reuse. πŸ† Best Use of MongoDB Atlas at Hacks for Hackers 2026. Built Current-AI, an AI-powered project management platform that converts Discord conversations into structured tasks with automated role assignment, real-time Kanban boards, GitHub-based auto-completion, and RAG-powered Q&A, eliminating coordination chaos for hackathon teams. Anyone who has done a hackathon knows the real enemy is not the code, it is the *coordination*. Priorities get argued in Discord, someone volunteers for a job nobody writes down, and an hour later half the team is building the same thing while the other half waits on a blocker no one flagged. **Current-AI** was built to kill that chaos. It is an *AI-powered project manager that lives in your Discord*, quietly listening to the conversation and turning it into an organized, tracked set of tasks in real time. It won **Best Use of MongoDB Atlas at Hacks for Hackers 2026**. ### From chat to task, automatically The core of Current-AI is **natural language task detection** running on **Google Gemini 2.5 Flash**. As people talk in Discord, it reads the *intent* behind each message and decides on its own whether a task should be created, updated, completed, or deleted, so nobody has to stop and file a ticket. Each new task is then routed to the *right person*, matched across more than **16 developer specializations**, which means work lands with whoever is actually suited to it rather than whoever happened to speak up first. ### A board that stays in sync All of that flows onto a **real-time Kanban board** built with **Next.js 16 and React 19**. Tasks sync live for everyone at once, support drag-and-drop, and carry priority and difficulty levels along with smart badges that surface only what matters. For the bigger, higher-stakes calls, there is an **approval workflow**: a proposal gets discussed and *voted on inside the Discord thread* before it is ever allowed onto the board, so the team stays in agreement without leaving the chat. ### Closing the loop with GitHub Current-AI also connects planning to actual execution through **GitHub Webhooks**. A fuzzy-matching algorithm watches incoming commits and works out which existing task each one relates to, and once it is confident enough, it marks that task **complete on its own**, no manual check-off required. Every one of these actions is written to a full **audit log**, so the team always has a transparent record of what changed, when, and why. ### Just ask the project Instead of scrolling threads to piece together where things stand, you can simply *ask*. Current-AI includes a **Retrieval-Augmented Generation assistant** that pulls context from the tasks, logs, and assignments stored in **MongoDB Atlas** and answers questions conversationally, things like who is blocked, what is in progress, or what is still left to do, right from Discord or the web dashboard. ### Under the hood The backend runs on **Next.js API routes** with secure session-based auth, paired with a dedicated **Python Discord bot** that handles live message ingestion, thread monitoring, and linking Discord accounts to users. Efficient queries and **Redis caching** keep it responsive even during the message firehose of a live hackathon. In practice, Current-AI cut organizational overhead by more than **60%**, letting teams spend their time building instead of babysitting a task list. Next up is broader enterprise support, deeper integrations with other collaboration tools, and predictive task planning that anticipates work before it is even asked for. ## At a glance - **Timeline:** Jan 2026 - **Type:** Hackathon Project - **Event:** Hacks for Hackers 2026 - **Award:** Best Use of MongoDB Atlas ## Technologies - Next.js 16 - React 19 - TypeScript - Tailwind CSS 4 - MongoDB Atlas - Next.js API Routes - Python 3.11 - Discord API (discord.py) - Google Gemini 2.5 Flash - Retrieval-Augmented Generation (RAG) - GitHub Webhooks - Redis (Caching) - Natural Language Processing (NLP) ## Categories - Web App - AI/ML - Hackathon Submission - Accessibility ## Photos - Current-AI announced as the Best Use of MongoDB Atlas winner during the MLH award stream ## Links - [GitHub](https://github.com/sherwinvishesh/Current-AI) - [Devpost](https://devpost.com/software/current-ai) - [Demo video](https://youtu.be/Y9Xt2FuiO6U)