Electrical and Electronics Engineering services
Electical
This course provides a comprehensive introduction to the fundamentals of electrical circuits. Students will learn about the basic components of electrical circuits, their characteristics, and how they are interconnected to form various circuit configurations. The course will cover topics such as circuit analysis, network theorems, transient analysis, and AC circuits.
Electrical
This laboratory course complements the theoretical concepts learned in the Electrical Circuits course. Students will gain practical experience in designing, building, and testing electrical circuits. Through hands-on experiments, they will verify theoretical principles and develop problem-solving skills.
Developing and Programming services
Backend

We provide backend web app development using Django, with database support for SQLite and PostgreSQL. Our service ensures secure, scalable, and high-performance applications tailored to your needs, whether for lightweight projects or complex, production-ready systems.
Backend

We offer API development using Django REST Framework, delivering secure, scalable, and high-performance APIs for seamless integration with mobile and web apps. Our service ensures efficient data handling and easy-to-maintain backends.
Frontend

Our Frontend Development Service creates responsive and user-friendly web applications using HTML, CSS, and JavaScript. We design visually appealing and interactive interfaces that provide a smooth user experience across all devices.
Frontend

Our Frontend Development Service using ReactJS focuses on building dynamic, high-performance web applications with a modern and interactive user experience. ReactJS allows us to create fast, scalable, and reusable components, making it ideal for developing complex and responsive user interfaces
Frontend

Our Frontend Development Service using Next.js specializes in creating fast, SEO-friendly, and scalable web applications. Next.js enhances performance with server-side rendering (SSR) and static site generation (SSG), ensuring optimal load times and improved SEO. We build dynamic, responsive user interfaces with a modern design.
DataScience

Our Data Science and Machine Learning (ML) Projects Service provides tailored solutions for extracting insights and building predictive models from data. We use advanced data analysis, machine learning algorithms, and AI techniques to solve complex business problems, automate processes, and forecast trends. From data collection and cleaning to model development and deployment.
Scripting

Our Scripting Service using Python offers efficient solutions for automating tasks, data manipulation, and system integration. Python's versatility allows us to create scripts that streamline processes, enhance productivity
Automation

Our Automation and Web Scraping Service using Python specializes in automating repetitive tasks and extracting valuable data from websites. Using Python's powerful libraries, we develop custom scripts to streamline workflows, gather real-time data, and perform data analysis efficiently.
Mobile

Our Mobile App Development Service using React Native creates high-quality, cross-platform apps for iOS and Android. With a shared codebase, we deliver responsive, user-friendly solutions that reduce development time and costs while ensuring a native look and feel.
Sample Projects
A web app where users can upload documents and get context-aware text mentoring. Built with Next.js for the frontend and powered by a RAG backend, it retrieves relevant document sections to generate intelligent suggestions.
A smart home control system where ESP32 devices manage sensors and appliances, connected to a Firebase database for real-time updates. The React.js web app provides users with a dashboard to monitor and control devices remotely.
A Retrieval-Augmented Generation (RAG) application designed for a travel company to deliver personalized recommendations and answer customer queries
A gas detection system built using an operational amplifier (Op-Amp), simulated in Tinkercad. The system detects varying gas concentration levels and triggers alerts (LED or buzzer) based on predefined thresholds for safety monitoring.
A Retrieval-Augmented Generation (RAG) system that enhances medical document analysis by combining vector-based search with a large language model. It retrieves relevant medical records
A dashboard application built with Django as the backend and React.js as the frontend to visualize and manage given datasets. It provides interactive charts, filters, and reports, enabling users to gain insights and track key metrics in real time.
An automated web scraping workflow built with n8n, enabling data extraction from websites . The workflow can parse, transform, and store scraped data into google sheet.
A Python-based scraper that uses Selenium to handle dynamic, JavaScript-rendered pages and BeautifulSoup to parse the HTML and extract structured data efficiently.
A full-stack company management system built with Django for the backend and Next.js for the frontend. It streamlines operations such as employee management, project tracking, and reporting, with secure authentication and a modern user interface.
A proxy-backed web scraper that uses Selenium to load dynamic web pages and BeautifulSoup to parse and extract data.
A web-based ticket booking system built with Django, providing users with a simple interface to browse events, book tickets, and manage reservations.
A desktop-based supermarket management system built using Python Tkinter, designed to handle product listings, billing, and inventory tracking.
A RAG-powered application for restaurants that uses n8n to automate workflows, retrieve menus, reviews, and policies, and generate personalized, context-aware responses to customer queries.
A face detection system built with Python, leveraging OpenCV and MediaPipe to accurately detect and track human faces in real time
A product query application built with n8n that connects Telegram for customer queries, fetches product details from Google Sheets, and sends automated responses or follow-ups through Gmail.
A machine learning project that performs text classification to analyze sentiment (positive, negative, or neutral)
A car parking assistant system built with Arduino and simulated in Proteus. It uses ultrasonic sensors to detect obstacles and measure distance, providing alerts to assist safe parking.
A voice recognition system developed in Python using neural networks to process and classify audio inputs. The model extracts speech features, trains on labeled datasets, and accurately identifies or verifies spoken commands.