I am an Electronics and Communication Engineering student interested in embedded systems, IoT, artificial intelligence, computer vision, and software development. I build practical projects that combine electronics, hardware, firmware, cloud platforms, and intelligent software.
YOLOv8-based computer vision system for detecting six types of PCB manufacturing defects. Includes a Streamlit dashboard, model analytics, confidence scores, reports, and training results.
Machine-learning system that classifies car horns, dog barks, engine sounds, and rain using MFCC audio features and a Random Forest model.
Scene-text recognition application for Indian languages using CLIP, EasyOCR, translation, text-to-speech, and Streamlit.
Flask and SQLite REST API supporting complete CRUD operations for managing student tasks.
- Programming: Python, C, Arduino
- Machine Learning: Scikit-learn, Random Forest, feature extraction
- Computer Vision: YOLOv8, OpenCV, CLIP, EasyOCR
- Audio Processing: Librosa, MFCC
- Web Development: Flask, Streamlit, REST APIs
- Databases: SQLite
- Embedded and IoT: ESP8266, sensors, Wi-Fi communication
- Tools: Git, GitHub, Google Colab, VS Code, Postman
- Building practical AI and ECE projects
- Improving computer vision and embedded-system skills
- Learning data structures, algorithms, and backend development
- Creating deployable applications with clear documentation
My repositories include projects in:
- Artificial Intelligence and Machine Learning
- Computer Vision
- Audio Classification
- Multilingual OCR
- Backend API Development
- Embedded Systems and IoT