MongoDB Hackathon Background

Hack-N-Go with MongoDB

GenAI Powered Transformation in Database Management and Security

Precision, Protection and Performance Redefined

Skill-Up
Learn MongoDB & AI technologies
Get Certificate
Earn recognized e-Certificates
Network
Connect with industry experts
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3 winning teams, 2 jury awards
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Hackathon Overview & Objectives

Hack-N-Go with MongoDB

A national hackathon focused on creating innovative solutions for database management and security using MongoDB and GenAI technologies. This hackathon accelerates national upskilling, fosters collaboration, and prepares youth for leading data/AI roles in an increasingly digital economy.

Key Focus Areas

Advanced Database Security Solutions

Innovative approaches to database protection and threat mitigation

AI-Driven Data Management

Smart automation for database operations and optimization

Scalable NoSQL Architecture Design

Building robust and scalable database architectures

Cloud-Native MongoDB Applications

Modern cloud-first database applications and services

Primary Objectives

Foster Innovation

Encourage students to develop cutting-edge solutions for real-world database management and security challenges using MongoDB.

Develop MongoDB Expertise

Equip participants with advanced MongoDB skills through hands-on learning, bootcamps, and access to MongoDB University resources.

Bridge Academia-Industry Gap

Connect emerging talent with industry experts and create pathways for students to transition into professional database and AI roles.

Hackathon Structure & Phases

6-Phase Journey to Excellence

This structured approach ensures participants gain MongoDB expertise, develop AI-powered solutions, receive expert mentoring, and showcase their innovations to industry leaders.

Judging Criteria & Evaluation

Multi-Stage Evaluation Process

A comprehensive and fair evaluation process designed to identify the most technical and innovative solutions in database management and security

Evaluation Stages

Initial Screening

All submissions undergo initial review for completeness, alignment with theme, and basic technical feasibility.

Technical Assessment

MongoDB experts evaluate code quality, database architecture, and implementation of MongoDB features.

Implementation Review

Evaluation of AI integration, machine learning models, and innovative use of GenAI technologies.

Final Evaluation

Comprehensive assessment by industry experts and MongoDB professionals for final selection.

Judging Criteria

Innovation & Relevance
  • Originality of the solution concept
  • Alignment with AI-powered database management & security theme
  • Addressing genuine industry challenges
Technical Implementation
  • Code quality and architecture design
  • Proper implementation of MongoDB features
  • Integration of GenAI technologies
Feasibility & Scalability
  • Practical implementation potential
  • Performance and scalability considerations
  • Security framework and data protection measures
Impact & Presentation
  • Potential business/societal impact of solution
  • Quality of demonstration and documentation
  • Clarity and confidence in explaining technical decisions

Fair & Transparent Evaluation

Our evaluation process is designed to be completely fair and transparent. Each submission will be reviewed by multiple MongoDB experts and industry professionals to ensure the most deserving teams are recognized for their innovation, technical excellence, and potential impact.

Empowering Future Innovators with MongoDB & GenAI

Step into the world of intelligent data — where students lead the charge in
redefining database management and security through cutting-edge solutions.

Registration Opens

November 14, 2025

National Reach

All B.E/B.Tech Students

Grand Finale

January 19, 2026