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Participating Team

Quanta labs

HackIndia Spark 6 – NCR (Central) Region

4 Team Members
Registered for 2026

Problem Statement

Modern software development forces programmers to choose between two extremes: high-level languages that prioritize ease of use and low-level languages that prioritize performance and hardware control. High-level languages like Python and JavaScript simplify development through automatic memory management and flexible typing, but they consume significant memory and processing power, making them inefficient for embedded systems, microcontrollers, and edge devices. In contrast, low-level languages such as C and Rust offer precise memory control and high execution speed, but they introduce complexity, steep learning curves, and risks such as memory leaks, buffer overflows, and undefined behavior. This creates a critical gap in today’s programming ecosystem: there is no unified language that is both beginner-friendly and deeply memory-efficient while also being capable of scaling from hardware-level programming to modern decentralized and intelligent applications. Quanta addresses this gap by introducing a new paradigm in programming. It combines simplicity with performance through an optimized memory model, enabling developers to write clean, safe, and efficient code without sacrificing control. Beyond this core innovation, Quanta extends its capabilities into two cutting-edge domains: TinyML Integration: Quanta enables seamless deployment of machine learning models directly onto microcontrollers and edge devices. Developers can integrate lightweight ML modules without dealing with complex toolchains, making it easier to build intelligent IoT systems, robotics, and real-time smart devices. Smart Contracts via WebAssembly: Quanta introduces secure and high-performance smart contract development using WebAssembly. This allows developers to write decentralized applications (dApps) with near-native execution speed, improved security, and cross-platform compatibility. By bridging the gap between high-level simplicity and low-level efficiency—while also supporting on-device intelligence and decentralized execution—Quanta empowers developers to build the next generation of software across embedded systems, AI-driven devices, and blockchain ecosystems.

Team Members ID Cards

Official HackIndia hackathon participant IDs

H
HACKINDIA

Participant ID

HI001415

H
HARDIK DHAWAN

HARDIK DHAWAN

Jims Sec 5

Team

Quanta labs

Hackathon

HackIndia Spark 6 – NCR (Central) Region

National Institute of Technology Delhi

HACKINDIA 2026 PARTICIPANT
hackindia.org
H
HACKINDIA

Participant ID

HI001419

H
Harsh Gupta

Harsh Gupta

Jims sec 5

Team

Quanta labs

Hackathon

HackIndia Spark 6 – NCR (Central) Region

National Institute of Technology Delhi

HACKINDIA 2026 PARTICIPANT
hackindia.org
H
HACKINDIA

Participant ID

HI004476

H
NAMAN null

NAMAN null

Jagan Institute of Management Studies Rohini

Team

Quanta labs

Hackathon

HackIndia Spark 6 – NCR (Central) Region

National Institute of Technology Delhi

HACKINDIA 2026 PARTICIPANT
hackindia.org
H
HACKINDIA

Participant ID

HI001492

H
Rohan Kumar Rawat

Rohan Kumar Rawat

Jagan Institute of Management Studies - JIMS Rohini

Team

Quanta labs

Hackathon

HackIndia Spark 6 – NCR (Central) Region

National Institute of Technology Delhi

HACKINDIA 2026 PARTICIPANT
hackindia.org