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💼 IcebreakerBot [repo]: LinkedIn Icebreaker Generator with LangChain Agents
A LinkedIn networking tool that automatically generates personalized icebreakers using LangChain agents and LLMs like GPT-4 and Llama. The system retrieves LinkedIn profiles and generates creative conversation starters. Built with Streamlit for the frontend.
AI/ML Tech used:
- LangChain Agents for LinkedIn profile search and information retrieval
- GPT-4 and Llama for content generation
Other Tech used:
- RapidAPI for LinkedIn data scraping
- Tavily Search Results for LinkedIn profile crawling
- Streamlit for UI
🎙️ recapio.io [repo]: LLM based audio transcription and summarization
A tool to record audio, transcribe meetings, and generate summaries using OpenAI Whisper models and LLMs. It integrates Auth0 for user authentication and Stripe for payment processing, all built with Streamlit.
AI/ML Tech used:
- OpenAI Whisper for transcription
- LLMs for summarization
Other Tech used:
- Streamlit for UI
- Auth0 for authentication
- Stripe for payments
- AWS RDS, S3, EC2 for storage and hosting
🏠 PropertyBot Data AI Pipeline [repo]: Computer Vision / NLP for home listing analysis.
An automated data pipeline that processes real estate listings, enriching them with AWS Rekognition for image classification and custom NLP models for property descriptions. Includes a CI/CD pipeline for continuous deployment.
AI/ML Tech used:
- AWS Rekognition for image classification
- Custom NLP models for property analysis
Other Tech used:
- AWS Lambda, SQS, DynamoDB, RDS for processing and storage
- CI/CD pipelines via GitHub Actions
💰 Jobhunter [repo]: LLM Embeddings based job search app.
An AI-powered job search platform that uses GPT-based embeddings to match resumes with job listings. Built with Python and Streamlit.
AI/ML Tech used:
- LLMs for job matching
- GPT-based embeddings for resume-job matching
Other Tech used:
- SQLite for job storage
- Streamlit for UI
- CI/CD Pipeline, Docker, API Integration
📰 NewsWaveMetrics [repo]: News Sentiment Analyzer
A platform that analyzes news sentiment and correlates it with stock market data and economic indicators. Uses NLP for sentiment analysis and time series analysis for economic trends.
AI/ML Tech used:
- NLP for sentiment analysis
- Time Series Analysis for stock trends
Other Tech used:
- Python, Pandas, Matplotlib, Seaborn for data processing and visualization
- SQLite and API Integration (Yahoo Finance, RapidAPI)
