AI Deadlines Tracker

Overview

The AI Deadlines Tracker is an open-source web application that provides a structured and continuously updated overview of major artificial intelligence and machine learning conference deadlines.

The platform allows researchers to quickly identify upcoming submission deadlines without navigating dozens of individual conference websites. It centralizes essential metadata such as conference rating, h5-index thresholds, submission timelines, and approximate future dates into a single, searchable interface.

Motivation

Planning research submissions in AI is increasingly complex. Top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, ACL, and many domain-specific venues operate on different cycles, with abstract deadlines often preceding paper deadlines by several days.

Missing a deadline can delay a project by an entire year.

The AI Deadlines Tracker was built to:

• Reduce deadline fragmentation
• Improve planning transparency
• Support early-stage PhD students and research assistants
• Provide filtering by ranking and impact indicators
• Make strategic submission planning easier

Features

The platform currently supports:

• Filtering by conference name
• Filtering by minimum h5-index
• Filtering by CORE rating (A*, A, B, C, D)
• Toggle for past deadlines
• Approximate future deadline previews
• Open-source contribution workflow via GitHub

This enables users to quickly focus on high-impact venues or specific quality tiers depending on their research strategy.

Data Collection

Conference information is collected from official conference websites and verified community sources. The project is open-source, allowing researchers to contribute updates or corrections directly via GitHub.

This community-driven model ensures transparency and long-term maintainability.

Who It Is For

The tracker is designed for:

• PhD students planning submission strategies
• Master’s students targeting first publications
• Research engineers in industry
• Academic labs coordinating multi-paper submissions
• Anyone seeking a structured overview of AI conference timelines

Open Source & Community

The project is publicly accessible and contributions are welcome. Community participation helps keep the dataset accurate and ensures that new conferences and updated deadlines are reflected quickly.

By keeping the tool lightweight and accessible, the goal is to provide practical infrastructure for the AI research community rather than a commercial platform.