I enjoy building real-world software systems that combine automation, data processing, and intelligent workflows.
My work spans across AI tools, automation pipelines, developer utilities, and backend systems.
I focus on building practical products that solve real problems, not just experimental projects.
Currently exploring and building systems around:
- Automation Pipelines
- Retrieval Augmented Generation (RAG)
- Developer Productivity Tools
- Intelligent Assistants
- Scalable backend services
Facial Attendance Recognition System
A real-time face recognition based attendance system designed for automated logging and institutional use.
Tech Used:
Python • OpenCV • Computer Vision • Automation
A tool that extracts and refines YouTube transcripts for better readability, processing and downstream analysis.
Tech Used:
Python • NLP • Data Processing
An AI-powered legal assistant chatbot designed to help interpret and interact with legal information.
Tech Used:
TypeScript • APIs • LLM Integration
A customizable ChatGPT-style chatbot interface built using Streamlit and OpenAI APIs.
Tech Used:
Python • Streamlit • OpenAI API
An NLP-based resume analysis system that compares resumes with job descriptions using semantic similarity.
Tech Used:
Python • spaCy • NLP • Streamlit
Currently building automation pipelines for content processing, workflow automation, and intelligent system integrations.
Python • Java • C++ • JavaScript • SQL
Streamlit • Firebase • Git • REST APIs
NLP • spaCy • OpenAI APIs • RAG Systems
Linux • Automation Workflows
- Retrieval Augmented Generation (RAG)
- AI Agents
- Automation Systems
- Scalable Backend Architectures
GitHub:
https://github.com/saket0x07
⭐ Always building. Always learning.