Technical Engineering Analyst at a university with 501-1,000 employees
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Top 20
Jun 15, 2026
My most appreciating and most fascinating project with AMD Vivado Design Suite was my final year project, which was video enhancing for better communication on an FPGA. For the IP integrations and our RTL designs, I have used AMD Vivado Design Suite. I have also made many projects on cryptography, on MUXes, and on AR and VR, but my most major project is my final year project. The project with AMD Vivado Design Suite is a driven video enhancement system. The goal is to transmit a low resolution, such as 240p, and enhance it to 3x, 720p, making the pixels more robust and accurate for about seven times to the original video I got. I have used FSRCNN, which is custom-made. I have not gotten it from any website. I made it myself. The project focuses on improving video quality while reducing transmission bandwidth requirements. Currently, I have developed and trained the CNN model in Python and am working on understanding its optimization. I have implemented all the components, including making IPs of my CNN model in AMD Vivado Design Suite, working with GPUs, making reference files, and making a chip of my FPGA project, which is video enhancing, so that it gets the enhanced image of 480p.
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My most appreciating and most fascinating project with AMD Vivado Design Suite was my final year project, which was video enhancing for better communication on an FPGA. For the IP integrations and our RTL designs, I have used AMD Vivado Design Suite. I have also made many projects on cryptography, on MUXes, and on AR and VR, but my most major project is my final year project. The project with AMD Vivado Design Suite is a driven video enhancement system. The goal is to transmit a low resolution, such as 240p, and enhance it to 3x, 720p, making the pixels more robust and accurate for about seven times to the original video I got. I have used FSRCNN, which is custom-made. I have not gotten it from any website. I made it myself. The project focuses on improving video quality while reducing transmission bandwidth requirements. Currently, I have developed and trained the CNN model in Python and am working on understanding its optimization. I have implemented all the components, including making IPs of my CNN model in AMD Vivado Design Suite, working with GPUs, making reference files, and making a chip of my FPGA project, which is video enhancing, so that it gets the enhanced image of 480p.