News · AI & Deep Tech

Student builds AI model and seeks funding

What they do

Abhinav Anand built a multimodal AI model using personal savings and cloud credits

The model processes text, images, audio, and video with over two million tokens context

He seeks $35,000 to complete the pipeline and plans to open-source the code

Abhinav Anand is a 19-year-old student from Bihar who built an AI model independently.
He spent Rs 11 lakh of personal savings to develop the ArcleIntelligence project.
The model features a 5.82 billion parameter architecture for processing multiple media types.
Compute costs were kept low at approximately Rs 64,000 for GPU usage.
Anand is seeking $35,000 in funding to finish his development pipeline.
He plans to release weights on Hugging Face and code on GitHub.
Previous projects include a YouTube analytics app and a voice assistant system.
He has no computer science degree or team backing this specific venture.

The story highlights independent development by a high school student without formal training.
Funding sources included grants from RunPod and credits from DigitalOcean.
The project demonstrates accessible tools for building complex AI models.

ArcleIntelligence handles text, image, document, audio, and video processing tasks.
Image generation supports a resolution of 512x512 pixels.
Speech output operates at a frequency of 24kHz.
The model supports a context window exceeding two million tokens.
It achieved a score of 93.45 on OmniDocBench V1.5 during private testing.
The company aims to open-source its codebase for public use.
No revenue model or customer base is currently stated in the facts.