GitHub Trending

HARIPRIYASIVARAMAN/AI-Answer-Evaluation-System — Multimodal AI-based student answer evaluation using NLP and Whisper.

31 sec read56 views0 listens

27 stars | 0 forks | HTML

Multimodal AI-based student answer evaluation using NLP and Whisper.

What it does

The AI Answer Evaluation System is a multimodal platform that grades student answers using NLP and speech recognition, providing meaningful feedback. It enhances traditional grading methods by evaluating both text and audio responses, making assessments more comprehensive and human-like.

Why it matters: Transform the way you evaluate student answers with our AI-powered grading system that understands both text and speech!

View on GitHub

Want to create content about this repo? Use Nemati AI tools to generate articles, tutorials, and social posts.

revfactory/harness — A meta-skill that designs domain-specific agent teams, defines specialized agent

4,167 stars | 617 forks | HTML A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. What it does Harness is a meta-skill for Claude Code that designs domain-specific agent teams and gen...

Ali Nemati

AI & Machine LearningMay 1029 sec read

I Built an AI-Powered Daily LeetCode Planner in 2 Hours Using Workflow Automation

An AI-powered Daily LeetCode Planner has been developed to automate the selection and analysis of coding problems, streamlining daily practice for developers. This system uses Kestra for workflow orchestration, Python for data processing, Google Gemi...

Ali Nemati

AI & Machine LearningMay 1026 sec read

Flux Attention halves inference cost on long contexts

Flux Attention reduces the computational cost of long-context inference in large language models by allowing transformer layers to dynamically choose between dense and sparse attention, achieving up to 2.8 times speedup during prefill phases without ...

Ali Nemati

Education & EdTechMay 727 sec read

Oracy is the missing link for multilingual learners

Oracy, or the effective use of language in communication, is crucial for multilingual learners to develop their understanding and express their ideas clearly. This approach transforms classrooms by fostering collaborative thinking and continuous lang...

Ali Nemati

AI & Machine LearningMay 348 sec read

RAG Series (5): Embedding Models - The Core of Semantic Understanding

Summary and Quick Reference Core Takeaways Embedding is the Semantic Bridge of RAG: Choosing the wrong embedding model can significantly impact retrieval accuracy in Retrieval-Augmented Generation (RAG) systems. Language-Specific Recommendations:...

Ali Nemati

HARIPRIYASIVARAMAN/AI-Answer-Evaluation-System — Multimodal AI-based student answer evaluation using NLP and Whisper.

What it does

Related Articles

revfactory/harness — A meta-skill that designs domain-specific agent teams, defines specialized agent

I Built an AI-Powered Daily LeetCode Planner in 2 Hours Using Workflow Automation

Flux Attention halves inference cost on long contexts

Oracy is the missing link for multilingual learners

RAG Series (5): Embedding Models - The Core of Semantic Understanding