“Artificial Intelligence isn’t the future.
Bandwidth Estimation Algorithm for Multi-Device Experience
Project Overview
This project, conducted under the "Samsung PRISM program", focuses on developing an algorithm for estimating bandwidth in multi-device use cases.
Team Members
- Professor: Dr. B. Premalatha
- Karthik Venkatesh T
- A Edwin Nova
- Sanjay V
- Sabarivasan R T
Technologies Used
- Mobile App: Android Studio (Kotlin)
- PC Application: Microsoft Visual Studio (C#)
- Communication: Wi-Fi-based socket programming
Key Achievements
- Developed and deployed mobile and PC applications
- Established Wi-Fi communication between sender and receiver
- Implemented transport layer communication using socket programming
- Currently working on bandwidth estimation
Vehicle Movement Analysis and Insight Generation in a College Campus using Edge AI
Project Overview
As part of the Intel® Unnati Industrial Training 2024, a team of students from Coimbatore Institute of Technology—Sabarivasan R T, Edwin Nova, Karthik Venkatesh T, and Sanjay V—successfully completed a project on "Vehicle Movement Analysis and Insight Generation in a College Campus using Edge AI."
Mentorship
- Machine Learning Models
- Optical Character Recognition (OCR)
- Edge AI for Real-time Analysis
Guided by Dr. M. Poongothai, Professor, ECE, CIT, the team explored cutting-edge technologies, gaining hands-on experience in:
Project Highlights
- Analyzed vehicle movement patterns within the campus
- Developed an AI-driven solution for improved traffic management
- Integrated Edge AI and OCR for efficient data processing
Recognition
The project was successfully completed during the Intel Pvt Ltd training period (May – July 2024) and received official certification. This achievement reflects the team's dedication to applying advanced AI technologies to real-world challenges.
A Low-Cost System to Detect Insects in Mangoes
A team of III-year ECE students—Sanjay V, Dinesh K, Karthick Venkatesh T, and Dharun Kumar A, under the guidance of
Dr. M. Poongothai, Professor—successfully developed a project titled “A Low-Cost System to Detect Insects in Mangoes.”
This innovative project was recognized as a Semi-Finalist in the prestigious AICTE Inventors Challenge 2023, organized by ARM India and
STMicroelectronics in collaboration with the G20 forum. Competing against 1,400 teams from across India, the project was shortlisted among
the top 40 teams for the Grand Finale, held at Noida Institute of Engineering and Technology, Greater Noida, Delhi, on 20th November 2023.
Prices
Certificates
