To design and implement an approximate adder architecture that allows dynamic or reconfigurable control over its accuracy to achieve an optimal trade-off between power consumption, area, delay, and computational accuracy, especially for error-resilient applications such as image processing, machine learning, and IoT devices.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Software Requirements:
· Xilinx Vivado Tool
· HDL: Verilog
Hardware Requirements:
· Microsoft® Windows XP
· Intel® Pentium® 4 processor or Pentium 4 equivalent with SSE support
· 512 MB RAM
· 100 MB of available disk space
o Data Flow modeling
o Structural modeling
o Behavioral modeling
o Mixed level modeling
· Xilinx Vivado for design and simulation
· Generation of Netlist
· Solution providing for real time problems
· Project Development Skills:
o Problem Analysis Skills
o Problem Solving Skills
o Logical Skills
o Designing Skills
o Testing Skills
o Debugging Skills
o Presentation Skills
o Thesis Writing Skills