Resume projects with practical AI, vision, and embedded systems depth.
Each project keeps the resume source content at the center: description, stack, learning, future scope, architecture placeholder, and repository.
Disaster Insight Hub Assistant
Flask-based Retrieval-Augmented Generation experience that classifies crisis-related text, fetches safety playbooks, and drafts natural responses through Ollama Cloud.
Tech Stack
Features
- Multi-output Random Forest crisis detection
- TF-IDF retrieval over a curated Excel knowledge base
- Safety playbook retrieval and natural response drafting
- Full-stack assistant experience for disaster management
Learning & Scope
Enhanced full-stack development, AI integration, and cloud deployment skills.
Predictive AI, IoT, GIS mapping, and smarter real-time disaster management.
Pothole Detection Assistant
AI-powered pothole detection system that identifies potholes from road images or video streams using computer vision and deep learning techniques.
Tech Stack
Features
- Road image and video stream detection
- Real-time pothole identification
- Intuitive monitoring interface
- Maintenance prioritization support for road safety
Learning & Scope
Strengthened computer vision, deep learning, and real-time object detection skills.
GPS mapping, severity analysis, and smart road maintenance integration.
Smart Weather Monitoring System
Offline smart weather monitoring system using Arduino ESP8266 and environmental sensors to provide real-time temperature, humidity, and rainfall data for rural farmers without internet connectivity.
Tech Stack
Features
- Offline rural weather monitoring
- Temperature, humidity, and rainfall sensing
- Arduino ESP8266 sensor processing
- LCD-based local data display
Learning & Scope
Learned embedded systems and real-time sensor data processing using Arduino ESP8266.
AI/ML model integration for predictive weather forecasting.