LATEST IEEE PROJECTS ON MACHINE LEARNING


At TECHNOFIST we provide academic projects based on Machine Learning with latest IEEE papers implementation. Below mentioned is the list of projects and abstract on Machine Learning domain. For Synopsis and IEEE papers please visit our head office and get registered.

LATEST IEEE BASED PROJECTS ON MACHINE LEARNING

TECHNOFIST provides Machine Learning based projects with latest IEEE concepts and training in Bangalore. Delivering Machine Learning based projects with Python and Embedded coding. Below mentioned are few latest IEEE transactions on Machine Learning.

Technofist is the best institute in Bangalore to carry out Python based projects with machine learning, IOT and Artificial Intelligence for final year academic project purpose. Latest MACHINE LEARNING concepts for what is essential for final year engineering and Diploma students which includes Synopsis, Final report and PPT Presentations for each phase according to college format. Feel free to contact us for project ideas and abstracts.

Students of ECE, CSE , ISE , EEE and Telecommunication Engineering Departments, willing to pursue final year project in stream of Embedded projects using Machine Learning with Python coding can download the project titles with abstracts below.

TML001
CLOUD - BASED FACE AND SPEECH RECOGNITION FOR ACCESS CONTROL APPLICATIONS

ABSTRACT - This paper describes the implementation of a system to recognise employees and visitors wanting to gain access to a physical office through face images and speech-to-text recognition. The system helps employees to unlock the entrance door via face recognition without the need of tag-keys or cards. To prevent spoofing attacks and increase security, a randomly generated code is sent to the employee, who then has to type it into the screen. On the other hand, visitors and delivery persons are provided with a speech-to-text service where they utter the name of the employee that they want to meet, and the system then sends a notification to the right employee automatically. The hardware of the system is constituted by Raspberry Pi, , a camera, and a sound card with a microphone and speaker. To carry out face recognition and speech-to-text conversion, the cloud-based platforms local Web Services and the Speech-to-Text API service are used respectively.

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TML002
AUTOMATED EVALUATION OF COVID-19 RISK FACTORS COUPLED WITH REAL-TIME, INDOOR, PERSONAL LOCALIZATION DATA FOR POTENTIAL DISEASE IDENTIFICATION, PREVENTION AND FACE MASK DETECTION.

ABSTRACT - Since the beginning of the current COVID-19 pandemic, more than five million people have been infected and the numbers are still on the rise. Early symptom detection and proper hygienic standards are thus of utmost importance, especially in venues where people are in random or opportunistic contact with each other. To this end, automated systems with medical-grade body temperature measurement, hygienic compliance evaluation and individualized, person-to-person tracking, are essential, not only for disease spread intervention and prevention, but also to assure economic stability. Herein, we present a system that encapsulates all of the mentioned functionality via readily-available components (both hardware and software) and is further enhanced with preliminary RTLS data acquisition, enabling post-symptom detected, person-to person interaction identification to asses potential infection vectors and mitigate further propagation there by means of smart quarantine.Contact:
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TML003
FABRICATION OF AGRIBOT WITH CROP PREDICTION USING MACHINE LEARNING

ABSTRACT - This robotic vehicle is an agricultural machine of a considerable power and great soil clearing capacity. This multipurpose system gives an advance method to plow, leveling of farm ,seed sowing , harvesting with minimum man power and labor making it an efficient vehicle. In general, agriculture is the backbone of India and also plays an important role in Indian economy by providing a certain percentage of domestic product to ensure the food security. But now-a-days, food production and prediction is getting depleted due to unnatural climatic changes, which will adversely affect the economy of farmers by getting a poor yield and also help the farmers to remain less familiar in forecasting the future crops. This research work helps the beginner farmer in such a way to guide them for sowing the reasonable crops by deploying machine learning, one of the advanced technologies in crop prediction. Contact:
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TML004
HEART DISEASE PREDICTION USING IOT & ML BASED HEALTH MONITORING SYSTEM

ABSTRACT - The paper presents the design and implementation of an IOT-based health monitoring system for emergency medical services which can demonstrate collection, integration, and interoperation of IoT data flexibly which can provide support to emergency medical services like Intensive Care Units(ICU), The proposed model enables users to improve health related risks and reduce healthcare costs by collecting, recording, analyzing and sharing large data streams in real time and efficiently. The idea of this project came so to reduce the headache of patient to visit to doctor every time he need to check his blood pressure, heart beat rate, temperature etc. With the help of this proposal the time of both patients and doctors are saved and doctors can also help in emergency scenario as much as possible. The proposed outcome of the project is to give proper and efficient medical services to patients by connecting and collecting data information through health status monitors which would include patient’s heart rate, blood pressure and ECG and sends an emergency alert to patient’s doctor with his current status and full medical information.Contact:
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TML005
ANALYSIS AND PREDICTION OF AIR QUALITY MONITORING SYSTEM USING MACHINE LEARNING

ABSTRACT - Air quality monitoring is extremely hard for people to feel or experience in order that the general public cannot decide whether air high – quality is good or terrible. With an ever – growing wide variety of industrial units and transport vehicles, the hassle of a air pollution is become severe by every passing day. To achieve this goal, some form of air pollution tracking machine needs to be developed. To counter the hassle of air pollutants tracking, we advocate a Machine learning and IOT primarily based air quality monitoring system.Contact:
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TML006
INFANT CARE ASSISTANT USING MACHINE LEARNING, IMAGE PROCESSING, AND IOT SENSOR NETWORK

ABSTRACT - Many parents are unable to devote sufficient time to infants on account of office work or being short-handed. Additionally, there are also many first time parents, who lack experience in raising children. Infants, on the other hand, demand constant attention and care. Simple methods to immediately calm the agitated infants need to be devised. Hence, there is a need to assist parents in taking care of their infants by providing them with a single product which would monitor their infants at all times, send notifications in case attention is required, raise alerts in case of emergency situations and provide real time interaction between parents and infants.Contact:
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TML007
PLANT LEAF DISEASE DETECTION SYSTEM AND FABRICATION OF AGRIBOT

ABSTRACT - Currently, the demand for automated technology is increasing rapidly. People are trying to find sources that make their work easier, errorless and fast. Even though India is agricultural country lot of challenges are faced by farmer. Every year farmer experiences large losses due to pest infestation in crop and this is affect for plants. These losses are basically due to discontinuous monitoring of farm, various disease on crop and improper management of pesticides. Plant disease reduces product of farmer both in quality and quantity. So quick detection and identification of disease plant are of more importance. It also needs monitoring of farm. This project mainly deals with exploring of how robotics can be applied to various agriculture fields. The main strategy of this project is to improve efficiency and productive rate of agriculture crops. This can be done by replacing the human laborer’s by active machines like robots by using latest technology. Contact:
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TML008
SMART DOOR UNLOCKING USING FACE RECOGNITION AND BLINK DETECTION

ABSTRACT - Internet of Things (loT) has become one of the promising technologies used to connect, manage and control smart objects connected to the Internet. In the development of smart cities, smart homes play a key role among many IoT applications. Smart home also helps physically challenged people in their day-to-day life activities. This paper proposes a solution in providing a smart, secured and easy way of door unlocking. Various concerns involving door unlocking are key lost/forgotten and waiting for someone to open the door. Smart door provides a convenient way to overcome these issues and is a step towards making a smart home. The solution uses face recognition and eye blink detection techniques as the backbone algorithm.Contact:
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TML009
AN EFFICIENT SURVEY ON ENERGY CONSERVATION SYSTEM WITH VIDEO SURVILLANCE

ABSTRACT - Energy conservation System plays a very important role in the world. In our country also follows a rapid way to save the energy to fulfil this crisis, the users and devices play an important role. This Literature review of an energy conservation system tells about the replacement of sensor devices. Instead of sensors, we aim to apply video processing techniques with machine learning algorithms to save energy consumption. The objective of this paper is to conserve energy using different techniques. We study different approaches and compare their desirable and undesirable features. In this paper, a research analysis is done on recent research techniques related to energy conservation with or without sensors. The consequence of energy conservation by observing loads of classrooms on the educational institutions and Universities by considering the energy consumed with the present level and endorsing energy adequate appliances.Contact:
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TML010
FIRE ALARM SYSTEM FOR SMART CITIES USING EDGE COMPUTING

ABSTRACT - The current urban planning trend is to build smart cities that are advanced, safe and sustainable. To build these cities several technologies could be exploited including the Internet of Things (IoT) and edge computing. This motivated us to develop an IoT-based fire alarm system that uses edge computing. The developed system would be suitable in smart cities, as it mitigates issues faced by the existing fire alarm systems like installation overhead and lack of remote warning. Our system When a node detects fire, it signals the centralized node to alert the user and the fire department using the attached 4G module. An SMS is sent to them and the user is called. Users can inquire about the status of their home by sending an SMS. A prototype for the system performed the desired functionalities successfully with an average delay of less than 30 seconds and a node coverage of 1400m. Contact:
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TML011
A LOW COST WEB BASED REMOTE MONITORING SYSTEM WITH BUILT - IN SECURITY FEATURE FOR VULNERABLE ENVIRONMENT

ABSTRACT - 24×7 monitoring of environmental phenomena and security are the two prime areas of concern in an industrial setup. This paper mainly focus on the design and implementation of an intelligent, low cost and fully automated system which will be able to provide full time monitoring and eventual security to the concerned setup. The targeted area includes all type of susceptible environment like gas filling station, research and development laboratories etc. The system has the flexibility to add more number of nodes to the setup. The mode of communication implemented in the system is wired and could be migrated to wireless as required.Contact:
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TML012
READER AND OBJECT DETECTOR FOR BLIND

ABSTRACT - This work aims to assist the visually impaired people for reading a text material and detect objects in their surroundings. The input is taken in the form of an image captured from the web camera. This image is then processed either for the purpose of text reading or for object detection based on user choice. The Raspberry Pi acts as the microcontroller for processing of the entire process. The text reading is supported by software named OCR. The read text is changed into an audio output using the TTS Synthesis. Other dependencies required for the process include Tesseract Library. The Object Detection is another aspect of the project which is implemented using a TensorFlow Object Detection API. It is able to detect various objects in its surroundings and provide an audio feedback about the same. The dataset can be trained on various different situations depending on the user needs, thus making it scalable.Contact:
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 080-40969981

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RASPBERRY PI SYSTEM

Technofist, Bangalore offers IEEE Projects on EMBEDDED SYSTEM for final year engineering students and Final year engineering projects on EMBEDDED SYSTEM . Embedded based IEEE Projects on EMBEDDED SYSTEM projects for M.Tech, EC and BE students. Technofist , Bangalore also offer online training for projects on EMBEDDED SYSTEM for final year engineering Students and Final year engineering projects on EMBEDDED SYSTEM for ECE and engineering students. Technofist offers IEEE Projects training on EMBEDDED SYSTEM at low cost. See this section for list of Projects on EMBEDDED SYSTEM or Contact us for details and projects on EMBEDDED SYSTEM.
IEEE EMBEDDED SYSTEM project list for m.tech /be / b tech / mca / M.sc students in bangalore.
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RASPBERRY PI BASED SYSTEMS

Embedded systems are a cornerstone of the electronics industry today.
An embedded system is a computer or processor based system that has been designed for a specific purpose.

The system gains its name from the fact that the software is embedded into it for a particular application. The embedded system is not like a PC or other computer that can run a variety of programmes and fulfil a whole host of tasks.
The item using an embedded system is designed for a specific task and has its software preloaded, although updates may be undertaken from time to time.

Embedded systems basics

It may be asked what is an embedded system. With many processor based systems and computers it is useful to define what an embedded system is. A convenient definition for an embedded system is An embedded system is any computer system contained within a product that is not described as a computer.
Using this embedded system definition it is possible to understand the various basic characteristics one. Typically they are:

  • Embedded systems are designed for a specific task. Although they use computer techniques, they cannot be used as a general purpose computer using a variety of different programmes for different task. In this way their function can be focussed onto what they need to do, and they can accordingly be made cheaper and more efficiently.
  • The software for embedded systems is normally referred to as firmware. Rather than being stored on a disc, where many programmes can be stored, the single programme for an embedded system is normally stored on chip and it is referred to as firmware.
Embedded systems contain two main elements
  • Embedded system hardware: As with any electronic system, an embedded system requires a hardware platform on which to run. The hardware will be based around a microprocessor or microcontroller. The embedded system hardware will also contain other elements including memory, input output (I/O) interfaces as well as the user interface, and the display.
  • Embedded system software: The embedded system software is written to perform a particular function. It is typically written in a high level format and then compiled down to provide code that can be lodged within a non-volatile memory within the hardware.
Embedded Processor Hardware
  • Embedded systems basics
  • Embedded processor hardware
  • CPU
  • Embedded MPU
  • Embedded MCU
  • RAM

When developing an embedded system, one of the options is to base the computational hardware around a microcontroller, MCU rather than a microprocessor, MPU.

Both approaches have their attractions, but generally they will be found in different applications. Typically the microcontroller, MCU, is found in applications where size, low power and low cost are key requirements.

The MCU, microcontroller is different to a microprocessor in that it contains more elements of the overall processing engine within the one chip.

Bringing most of the processing engine components onto a single chip reduces size and cost. This enables it to become economical viable to digitally control even more devices and processes. Also it is found that mixed signal microcontrollers are being increasingly used, integrating analogue components needed to control non-digital electronic systems.

Microcontroller basics

Microcontrollers comprise the main elements of a small computer system on a single chip. They contain the memory, and IO as well as the CPU one the same chip. This considerably reduces the size, making them ideal for small embedded systems, but means that there are compromises in terms of performance and flexibility.

As microcontrollers are often intended for low power and low processing applications, some microcontrollers may only use 4 bit words and they may also operate with very low clock rates - some 10 kHz and less to conserve power. This means that some MCUs may only consume a milli watt or so and they may also have sleep consumption levels of a few nano watts. At the other end of the scale some MCUs may need much higher levels of performance and may have very much higher clock speeds and power consumption.

Different types of Microcontrollers
  1. 8051
  2. ARM
  3. PIC
  4. Arduino
  5. AVR
Functions 8051 PIC AVR ARM
Bus width 8-bit for standard core 8/16/32-bit 8/32-bit 32-bit mostly also available in 64-bit
Communication Protocols UART, USART,SPI,I2C PIC, UART, USART, LIN, CAN, Ethernet, SPI, I2S UART, USART, SPI, I2C, (special purpose AVR support CAN, USB, Ethernet) UART, USART, LIN, I2C, SPI, CAN, USB, Ethernet, I2S, DSP, SAI (serial audio interface), IrDA
Speed 12 Clock/instruction cycle 4 Clock/instruction cycle 1 clock/ instruction cycle 1 clock/ instruction cycle
Memory ROM, SRAM, FLASH SRAM, FLASH Flash, SRAM, EEPROM Flash, SDRAM, EEPROM
ISA CLSC Some feature of RISC RISC RISC
Memory Architecture Von Neumann architecture Harvard architecture Modified Modified Harvard architecture
Power Consumption Average Low Low Low
Families 8051 variants PIC16,PIC17, PIC18, PIC24, PIC32 Tiny, Atmega, Xmega, special purpose AVR ARMv4,5,6,7 and series
Community Vast Very Good Very Good Vast
Manufacturer NXP, Atmel, Silicon Labs, Dallas, Cyprus, Infineon, etc. Microchip Average Atmel Apple, Nvidia, Qualcomm, Samsung Electronics, and TI etc.
Cost (as compared to features provide) Very Low Average Average Low
Other Feature Known for its Standard Cheap Cheap, effective High speed operation Vast
Popular Microcontrollers AT89C51, P89v51, etc. PIC18fXX8, PIC16f88X, PIC32MXX Atmega8, 16, 32, Arduino Community LPC2148, ARM Cortex-M0 to ARM Cortex-M7, etc.

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