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Featured Projects

Cutting-edge IoT, AI, and embedded systems projects showcasing innovation in healthcare, home automation, surveillance, and educational technology.

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Project Portfolio

Featured Project

IntelliCradle – AI-Powered Baby Monitoring & Care Assistant

ESP32 ESP32-CAM TensorFlow Lite Computer Vision IoT Mobile App PCB Design

A camera‑based, contactless baby monitoring system using ESP32 and ESP32‑CAM featuring comprehensive AI-powered monitoring and predictive analytics for infant care.

Key Features
  • AI Monitoring: Cry detection, facial recognition, emotion analysis, pose tracking
  • Health Metrics: Breathing & heartbeat estimation, fever detection, skin disease detection
  • Safety Features: Diaper/moisture detection, intruder alerts, hazard alerts
  • Predictive AI: Hunger & sleep pattern prediction
  • Hardware Integration: Custom copper‑pipe cooling/heating system with battery backup
  • Dashboard: Full-featured mobile app dashboard with real-time monitoring

Impact: Award-winning project recognized in multiple national competitions for innovation in healthcare technology.

Completed

Home Automation with Alexa, Google Assistant & Touch Panels

ESP32 ESP RainMaker Voice Control IoT PCB Design Automation

Developed a comprehensive smart-home system with multi-platform voice control, custom hardware interfaces, and real‑time IoT monitoring capabilities.

System Features
  • Multi‑Platform Voice Control: Alexa and Google Assistant integration
  • Custom Hardware: PCB touch switches with capacitive sensing
  • Real‑Time Monitoring: Live IoT device status and energy consumption tracking
  • Automation Modules: Scheduled routines, scene management, conditional triggers
  • Mobile Control: Dedicated app with remote access capabilities
  • Energy Management: Smart power monitoring and optimization

Recognition: 2nd Place winner in Home Automation Competition for practical IoT implementation.

Completed

AI-Based Human Behavior & Stray Dog Surveillance System

ESP32-CAM Computer Vision YOLO WhatsApp API Edge AI Public Safety

Built an intelligent surveillance system using ESP32‑CAM for automated detection of anti‑social behavior and stray animal monitoring with real‑time notification system.

Detection Capabilities
  • Littering Detection: Automated identification of improper waste disposal
  • Spitting Detection: Recognition of public spitting behavior
  • Misbehavior Detection: Identification of vandalism and public nuisance
  • Stray Animal Monitoring: Tracking and alerting for stray dog movement patterns
  • Automated Enforcement: WhatsApp fine notifications with evidence images
  • Data Analytics: Behavior pattern analysis and hotspot identification

Application: Deployable solution for smart city infrastructure and public space management.

Active Platform

AskSummu – Electronics Learning Platform

Web Development Educational Tech React/Next.js Database UI/UX Design Electronics

Created a comprehensive online electronics education platform offering tools, tutorials, and resources for students and hobbyists interested in electronics and embedded systems.

Platform Features
  • 50+ Calculators: Electronics formulas, circuit design tools, component calculators
  • Project Tutorials: Step‑by‑step guides for IoT, embedded systems, and PCB design
  • News Updates: Latest electronics industry news and technology trends
  • Learning Dashboards: Progress tracking, skill assessment, personalized learning paths
  • Community Features: Forum, Q&A section, peer learning support
  • Resource Library: Schematics, code repositories, documentation templates

Live Platform: Accessible at asksummu.vercel.app – actively used by electronics enthusiasts.

New Project

Hand‑Gesture Based Presentation Controller for Teachers

ESP32 MPU6050 PCB Design 3D Printing Gesture Recognition Wearable Tech

A wearable gesture‑controlled device enabling teachers to wirelessly control presentations and slides with natural hand movements for enhanced classroom interaction.

Technical Implementation
  • Core Hardware: ESP32 microcontroller with MPU6050 gyroscope/accelerometer
  • Custom PCB: Designed, fabricated, and tested for optimal performance
  • Mode Switching: TTP223 capacitive touch sensor for seamless control mode changes
  • Gesture Controls: Slide navigation, pointer movement, presentation shortcuts
  • Ergonomic Design: 3D‑designed and printed wearable case for comfort
  • Wireless Connectivity: Bluetooth/2.4GHz communication with presentation software

Educational Impact: Enhances classroom mobility and engagement through intuitive gesture-based control.

Project Overview

Total Projects

5+

Completed & Ongoing

Hardware Skills

ESP32

All Projects

AI Integration

3/5

Projects with AI/ML

PCB Design

4/5

Custom PCB Implementation

Technical Domains

IoT & Embedded Systems 100%
AI & Computer Vision 60%
PCB Design 80%
Web/Mobile Development 40%

Application Areas

Healthcare Technology
Smart Home Automation
Public Safety & Surveillance
Educational Technology
Classroom Technology