Research Agent
DEPLOYEDRole: Full-Stack Developer & Data Scientist
Timeline: 4 months (Aug 2023 - Nov 2023)
Built an AI that reads 500+ research papers daily so you don't have to
PROJECT OVERVIEW
You know that feeling when you're trying to stay on top of the latest research, but there are literally hundreds of new papers published every day?
Yeah, I got tired of that too.
So I built an AI research assistant that's basically like having a PhD student who never sleeps. It crawls arXiv, Google News, and other sources 24/7, reads everything, understands the important bits, and delivers personalized research briefs.
But here's the cool part - it doesn't just summarize. It identifies trends, connects dots between seemingly unrelated papers, and has actually helped discover 3 new research directions.
It processes 500+ papers daily with 90% accuracy in content classification. What used to take researchers hours of reading now takes minutes of intelligent analysis.
KEY FEATURES
- ▸Automated paper and article scraping from multiple sources
- ▸Advanced NLP analysis for content understanding
- ▸Intelligent summarization using large language models
- ▸Trend identification and analysis
- ▸Personalized content recommendations
- ▸Automated research briefing generation
- ▸RESTful API for integration with other tools
- ▸Web interface for research management
CHALLENGES & SOLUTIONS
- ✦Handling rate limits and anti-bot measures from source websites
- ✦Ensuring high-quality summarization across diverse content types
- ✦Managing large volumes of data efficiently
- ✦Maintaining data freshness and relevance
RESULTS & IMPACT
- ●Processes 500+ papers/articles daily
- ●90% accuracy in content classification
- ●Reduced research time by 60% for users
- ●Generated insights led to 3 new research directions
TECH STACK
Python
OpenAI GPT
BeautifulSoup
Scrapy
spaCy
NLTK
MongoDB
Celery
Flask
PROJECT INFO
Status:
DEPLOYED
Timeline:
4 months (Aug 2023 - Nov 2023)
Role:
Full-Stack Developer & Data Scientist
Tech Focus:
LLMs, scraping, analysis