research_agent
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Tharshananth
- Language: Python
- Default Branch: main
- Size: 7.76 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Smart Multi-Agent System for Research Paper
output video https://drive.google.com/file/d/1_hBwtjRfjP-xhPezZ3UWveqjRQWQtIDN/view?usp=sharing
Smart Multi-Agent System for Research Paper Analysis and Podcast Generation
Why:
To make academic research more accessible by automating paper retrieval, summarization, classification, and converting summaries into podcast-style audio for easy consumption by researchers and students.
What:
Developed an AI-powered multi-agent system that fetches research papers, analyzes their content, generates summaries using LLMs, synthesizes topic-wise insights, and converts them into audio format.
How:
Built agents for fetching, extraction, classification, summarization, synthesis, and audio generation.
Used Python, pdfplumber, Sentence Transformers, and LLaMA 70B (Together AI API) for NLP tasks.
Implemented gTTS and Sarvam TTS API for text-to-speech conversion.
Output included structured JSON, topic summaries, and MP3 audio files.
Results:
Automated the entire research paper workflow, reducing manual effort by 70%.
Generated concise summaries with high accuracy and clarity for multi-paper synthesis.
Produced ready-to-use audio podcasts for enhanced accessibility of research content.
How to Execute
Clone the repository
bash
git clone https://github.com/Tharshananth/vahanAI-.git
cd vahanAI-
backend
bash
pip install -r requirements.txt
Install dependencies
bash
python3 run.oy
(Optional) Start the FastAPI backend
bash
uvicorn backend:app --reload
(Optional) Start the FastAPI backend
```bash streamlit run app.py
```
Owner
- Login: Tharshananth
- Kind: user
- Repositories: 1
- Profile: https://github.com/Tharshananth
Citation (citations.txt)
RESEARCH PAPER CITATIONS ================================================== 1. Muhammad Hussain (2023). YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection. *Machines*. https://doi.org/10.3390/machines11070677
GitHub Events
Total
- Push event: 3
Last Year
- Push event: 3