Behavioral Sciences Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Behavioral Sciences projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Behavioral Sciences Final Year Projects

Computer Vision-Based Assessment of Autistic Children Analyzing Interactions Emotions Human Pose and Life Skills

This project uses computer vision and deep learning to analyze videos of children with Autism Spectrum Disorder during play sessions. It tracks their movements, emotions, and interactions with therapists to understand social skills and attention. The system can automatically recognize joint attention, activities, and facial expressions with high accuracy. This helps clinicians assess, monitor, and plan treatments for children with ASD more effectively.
Human Behavior Recognition Based on Multiscale Convolutional Neural Network

This project focuses on recognizing human actions in videos using a smarter neural network. It improves how the network looks at both the overall and local details in each video. The method splits videos into segments, extracts important behavior information, and combines it over time to understand the full action. Tests show it is accurate, faster, and more efficient than older methods.
Online Black-Box Modeling for the IoT Digital Twins Through Machine Learning

This project focuses on creating a digital copy, or "twin," of a real system using only input and output data. The method works in real time and uses very little hardware, making it suitable for small devices like microcontrollers. It can predict the system’s behavior accurately, helping with tasks like maintenance, fault detection, and monitoring in IoT and Industry 4.0 applications. Experiments show it can learn and predict fast, with errors similar to the measurement limits of the system.
A Ranking Model for Evaluation of Conversation Partners Based on Rapport Levels

This project builds a system to rank conversation partners based on how well people get along. It uses data from both speech and text during interactions. Instead of predicting exact scores, it learns which partner is preferred over another. The model helps match people, like students and teachers, in online one-to-one sessions.
CNN-LSTM Driving Style Classification Model Based on Driver Operation Time Series Data

This project focuses on recognizing different driving styles accurately and quickly. It collects driver behavior data over time and uses neural networks to identify patterns. The system combines convolutional networks and LSTM to analyze the data and classify driving styles. Tests show it achieves over 93% accuracy with faster processing.
MixNet Physics Constrained Deep Neural Motion Prediction for Autonomous Racing

This project focuses on predicting how other racecars will move around an autonomous racecar. It combines deep learning with physics rules to make predictions both accurate and safe. The method improves over traditional models by keeping predictions realistic and avoiding errors like going off-track. It was tested in simulations and used on a real autonomous racecar in a competition.
Propounding First Artificial Intelligence Approach for Predicting Robbery Behavior Potential in an Indoor Security Camera

This project develops an AI system to predict and detect potential robberies using indoor surveillance cameras. It uses three detection modules to identify head covers, crowds, and loitering behavior. The system combines advanced object detection and tracking with expert rules to decide robbery risk. Tests on real surveillance videos show it can detect robberies more accurately, helping operators prevent incidents and manage multiple cameras effectively.

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At Final Year Projects, we provide complete guidance for Behavioral Sciences IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

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Behavioral Sciences Project Synopsis & Presentation

Final Year Projects helps prepare Behavioral Sciences project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. We provide PPT slides, tutorials, and full documentation for presentations.

Behavioral Sciences Project Thesis Writing

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We offer complete support for Behavioral Sciences research papers. Services include writing, editing, and proofreading for journals and conferences.

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Behavioral Sciences Final Year Projects with Source Code