Passionate about bridging the gap between hardware intelligence and cloud-scale AI.
- 🎓 Education: Information Science Engineering Student at SDMIT.
- 🐍 Focus: Python is my native tongue; building production-grade AI is my mission.
- 🧠 Specialization: Advanced RAG (Retrieval Augmented Generation) & LangChain workflows.
- 🌍 Goal: To engineer AI systems that solve real-world safety and accessibility problems.
| Category | Tools & Technologies |
|---|---|
| Languages |    |
| AI / LLM Stack |     |
| Web Stack |     |
| Cloud & IoT |    |
- 🛡️ Women Safety Device (IoT + AI): A wearable safety band built on Raspberry Pi. Integrates GPS/GSM for real-time tracking, automatic Image Capture for evidence, and Gemini AI for voice-triggered alerts.
- 🧠 Smrithi AI (RAG Platform): A Perplexity-style AI Answer Engine for Indhic AI. Uses LangChain and Vector Databases to provide referenced answers from Indic knowledge texts.
- 🤖 AI Doctor Assistant: A conversational LLM agent designed for preliminary healthcare diagnostics and real-time medical consultation.
- 🖱️ Virtual Mouse: Utilizing OpenCV and Python to control desktop navigation through hand gesture recognition.
class Bhoomika:
def __init__(self):
self.role = "AI Engineer"
self.languages = ["Python", "JavaScript"]
self.stack = {
"AI": ["LangChain", "RAG", "LLMs"],
"Web": ["MERN", "Supabase"],
"Hardware": ["Raspberry Pi", "IoT"]
}
def mission(self):
return "Design. Engineer. Deploy. Impact. 🚀"
print(Bhoomika().mission())