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Semantic Search Engine Using Generative AI - Sold By:
Subtotal: ₹12,744.00 (incl. tax)
Projects
Showing 97–120 of 191 resultsSorted by popularity
- PHP Projects
Online Examination System
SKU: n/a - PHP Projects
Online Hostel Management System
SKU: n/a - Robot Projects
Rf Control Robot using RF Module
This project focuses on building an RF-controlled robot using an RF transmitter and receiver module for wireless communication. The robot can be remotely operated using radio frequency (RF) signals, making it ideal for surveillance, remote monitoring, and automation applications.
Working Principle:
- The RF transmitter sends control signals using push buttons.
- The RF receiver receives these signals and decodes them using a decoder IC (HT12D).
- The decoded signals control motor driver IC (L298N or L293D), which drives the robot’s motors accordingly.
Applications & Benefits:
- Used in wireless robotic applications such as remote-controlled cars, industrial automation, and military surveillance.
- Provides long-range communication (typically up to 100 meters).
- Simple and cost-effective project for learning RF communication and robotics.
SKU: Rf Control Robot using RF Module (without Microcontroller) - PHP Projects
Online Library Management System
SKU: n/a - HTML CSS Projects
Travel World Website
SKU: n/a - Java Projects
Clinic Management System
SKU: Clinic Management System - Android App Based Projects
Tourism Information System
SKU: Tourism Information System - Android App Based Projects
Blood Bank Management System
SKU: Blood Bank Management System - ATmega328 Board Projects
Temperature Controlled Fan
A temperature-controlled fan system uses an Atmega328 microcontroller, DS18B20 temperature sensor, and L293D motor driver to adjust fan speed based on ambient temperature. The DS18B20 sensor provides temperature data to the Atmega328, which processes it and controls the fan via the L293D driver, ensuring efficient cooling.
SKU: Temperature Controlled Fan - ATmega328 Board Projects, Solar Based Projects
Solar Irrigation System
A solar-powered irrigation system automates watering by using a solar panel to charge a battery, which powers an Atmega328 microcontroller. The system employs a soil moisture sensor to monitor soil conditions. When moisture levels are low, the Atmega328 activates an L293D motor driver to run a water pump, ensuring efficient irrigation.
SKU: Solar Irrigation System - Android App Based Projects
Women Security SMS Service Application
SKU: Women Security SMS Service Application - Python AI/ML Based Projects
Spam Filtering Using Supervised Machine Learning Algorithms
The objective of this project is to detect Spam and ham messages using various supervised machine learning algorithms like Naive Bayes, Support Vector Machines algorithm, Bidirectional LSTM, and Transfer Learning with USE Encoder and compare their performance in filtering the Ham and Spam messages. As people indulge more in Web-based activities, and with rising sharing of private-data by companies, SMS spam is very common. Scammers create fraudulent text messages to deceive you into giving them your personal information, such as your password, account number, or Social Security number. If they have such information, they may be able to gain access to your email, bank, or other accounts. SMS spam filter inherits much functionality from E-mail Spam Filtering. Comparative study is performed based on the performance of various supervised learning algorithms and the algorithm that gives us the most accurate result is recommended. A simple UI is developed to demonstrate the working of spam filtering in practice.
SKU: Spam Filtering Using Supervised Machine Learning Algorithms - Python AI/ML Based Projects
Predictive Maintenance using Unsupervised Machine Learning
For any industrial machinery equipment, there is a need to increase operational flexibility and reduce operating costs. To achieve this objective, system engineers mainly focuses on 3 attributes of the machinery, namely reliability, maintainability and reliability. Maintenance strategy significantly improves the reliability and availability of assets and, as a result, decreases the number of unpredicted breakdowns. Recently unsupervised Machine Learning has received much attention in anomaly detection and predictive maintenance of equipments before they can fail. Unsupervised learning can help automate and improve feature engineering by extracting relevant and informative features from the data, without requiring labels or prior knowledge. In this project there are three different techniques that are applied: 1) PCA Model, 2) Auto-encoder Model and 3) LSTM Model with auto-encoder for detection of motor and compressor failures.
SKU: Predictive Maintenance using Unsupervised Machine Learning - Python AI/ML Based Projects
Bank Statement Analysis and Transaction Category Prediction
Bank statement analysis involves summarizing cash inflows and outflows from statements and providing an overview of financial health of individuals. Businesses and NBFCs consider the financial history of borrowers during credit assessments and bank statement analysis tool is being used by various industries for faster processing times, efficiency, and document processing purposes. The objective of this project is to study the cashflows in terms of debits and credits for the retail customers and predict the transaction categories based on mode of transactions and counter parties etc. Various Machine Learning algorithms are used to classify the transaction categories using train data and predict the transaction categories using test data. It also recommends the algorithm that gives the best accuracy score.
SKU: Bank Statement Analysis and Transaction Category Prediction - Python AI/ML Based Projects
Image Search using Deep Learning
Content based Image Retrieval (CBIR) is a popular technique used in computer vision for finding out a specific image out of a given set of images. Different category of images is stored in a folder of the repository. These are then preprocessed and visualized using image processing technique. Autoencoder architecture is used for image classification. Deep learning model is trained with the train set of data while model inferencing is done by using test component of dataset. When the user wants to search a particular image which will be matched with each of the images present in the repository and the image that is best matched with the given image will be displayed on the top followed by other similar images based the similarity score. Flask API is used to develop a web application running on local server. This project finds many useful applications such as fashion and retail, manufacturing and health care industries.
SKU: n/a - Python AI/ML Based Projects
Recommendation System for eLearning contents
In this project eLearning contents are generated by scraping the websites and then keywords are extracted using Spacy library. Clustering techniques are used to cluster the contents as ‘Low’, ‘Medium’ and ‘High’ complexity. The contents are personalized by matching the contents with user’s profile. Cosine Similarity is used to recommend the websites and keywords based on search keywords as entered by the user. Top 10 search results along with the similarity scores will be displayed to the user when the user wants to search a specific eLearning material from the internet.
SKU: Recommendation System for eLearning contents - Python AI/ML Based Projects
Forecasting Corona Virus Outbreak
The outbreak of COVID-19 made a significant health impact across the globe. This project is designed to analyze how coronavirus affect different nations and to predict potential COVID-19 cases across all the globe on an everyday basis. The objective was to gauge COVID-19 on three metrics- confirmed cases, recovered cases and death events for the next day using historical data as on a given date. Various forecasting models such as Linear Regressor, Random Forest Regressor, ARIMA, Prophet, Holt Winter etc. are used for time series analysis and forecasting COVID cases.
SKU: Forecasting Corona Virus Outbreak - Electronics Projects (BTech MTech)
Solar Sea Weather and Pollution Tracker
The Solar Sea Weather and Pollution Tracker uses an ESP32, turbidity sensor, pH sensor, DS18B20 temperature sensor, and humidity sensor to monitor marine conditions. Powered by solar energy, it tracks water quality and environmental factors like turbidity, pH, temperature, and humidity, promoting sustainable marine ecosystem management.
SKU: solar-sea-weather-and-pollution-tracker - Python AI/ML Based Projects
Semantic Search Engine Using Generative AI
With the advent of Large Language Model (LLM) like ChatGPT, semantic search has received much attention in recent time. This project takes advantage of LLM to help build semantic search engine which finds wide spread applications across industries. It starts with chunking the documents and creating vector database using Amazon Titan text embedding model. When the user wants to search a specific information from the document(s), it fetches the information that are semantically closer to the user’s query and displays top 3 answers based on similarity score. An User Interface (UI) is developed using Gradio which helps user to interact with search query and receive response from the LLM.
SKU: n/a - Python AI/ML Based Projects
Neural Machine Translation
SKU: n/a - Python AI/ML Based Projects
AI Assistant for Tourists
This project is aimed to develop a virtual assistant chatbot that can help the tourists tell the weather for any city, places around a city and points of interests such as beaches, hotels, restaurants around a city etc. Rasa framework is employed to build the chatbot. The application can be run on local browser. The user can interact with the chatbot using a simple UI built on HTML and CSS.
SKU: n/a
