I’m passionate about building intelligent, scalable systems that solve real-world problems using Artificial Intelligence, Machine Learning, and Modern Software Engineering.
- 💡 Strong in Data Structures & Algorithms
- 🤖 Building AI systems in Computer Vision & Deep Learning
- ☁️ Exploring Cloud, MLOps & System Design
- 🧠 Love solving real-world optimization problems
- 🎯 Mission: Build technology that is intelligent, scalable & impactful
- YOLOv8
- Computer Vision
- Deep Learning
- NLP
An intelligent medical imaging platform that leverages Deep Learning to detect lung diseases from Chest X-ray images with high accuracy and real-time inference capability.
- 🧠 Custom CNN architecture for X-ray classification
- ⚡ Real-time prediction using FastAPI
- 🐳 Fully Dockerized microservice architecture
- ☁️ Deployed on AWS EC2 (Production Ready)
Tech Stack: PyTorch • FastAPI • Docker • AWS • Computer Vision
🔗 Repository:
https://github.com/DeepanshuTolani/Lungs-Disease-Diagnosis-master
🔗 Live Deployment:
https://pulmoscan.duckdns.org/
A real-time object detection system built using YOLOv8 to monitor helmet compliance using computer vision and scalable API infrastructure.
- 🎯 Custom-trained YOLOv8 model
- 📹 OpenCV real-time video inference pipeline
- 🌐 REST API integration for predictions
- ☁️ AWS deployed with public endpoint
Tech Stack: Python • YOLOv8 • OpenCV • FastAPI • Docker
🔗 Repository:
https://github.com/DeepanshuTolani/Helmet-detection
🔗 Live Deployment:
https://deepanshuhelmet.duckdns.org/
A context-aware GPT-inspired conversational AI system featuring modular NLP pipelines and scalable backend architecture.
- 🧠 Context retention & conversational memory
- 🔍 NLP-based response generation
- 🌐 Interactive Web Interface
- ☁️ Cloud deployment with API support
Tech Stack: Python • FastAPI • NLP • LLM Architecture
🔗 Repository:
https://github.com/DeepanshuTolani/Custom-GPT-model
🔗 Live Deployment:
http://deepanshuai.duckdns.org/
- 🎓 9.42 CGPA (CSE)
- 🏅 Azure AI Fundamentals Certified
- 🏆 Cleared Institutional Round – Smart India Hackathon
- 🧠 IEEE CS Hackathon Participant
"Code is not just written — it is engineered for scale, optimized for performance, and built for impact."
Open to AI research, startup collaborations & innovative tech projects.