Students often face problem while collecting notes and it interrupts their learning process. Our application will provide a platform for the students where they can come together for collaborative learning. Students can share their notes/materials (both handwritten and in document - PPT, PDF, DOC, etc. format) which students from any branch or semester can access for free. In our platform users can upload their notes giving a short description and some keywords related to the subject, branch and semester. Other users can search the notes using those keywords which will provide them filtered results. Each user will have an account through they will access the application. The platform is planned to be a LEARN | SHARE | EDUCATE platform which aims to increase effectiveness and conceptual clarity of students.

Electronic counters are of two types: Asynchronous and Synchronous. Here we will work on Synchronous counter. Synchronous counters use a common clock and logic between the flip-flops to encode the count sequence. Asynchronous counters are simpler because they do not require logic gates, but any latency will scale linearly with respect to the number of bits. Synchronous architecture is preferable. If the application is not sensitive to false errors produced by latency, however, an asynchronous counter alone or with overclocking (in the event that cumulative latency is greater than the cycle time) may be feasible. Alternatively, filters, such as a strobing circuit, can be used to remove erroneous outputs caused by latency from the output.

In computation involving matrices it is frequently necessary to interchange or rearrange rows or columns of a matrix. If the work is being done longhand or with a desk calculator, it is desirable to be able to perform the rearrangement without having to erase or rewrite numbers. In mathematics, matrix addition or subtraction, multiplication or the matrix product or any other arithmetic operation is a binary operation that produces a matrix from two matrices. The matrix manipulator was devised for the use in the Bureau’s statistical Engineering Laboratory for calculation with incidence matrices, i.e., matrices whose element are all 0’s or 1’s. So, through this project we will show how the matrix manipulation is taking place using MIPS programming language. MIPS is a reduced instruction set computer set architecture developed by MIPS Technologies. The early MIPS architecture was 32-bit with 64-bit versions added later. Also, the project is compiled to show Matrix addition of two different matrices, subtraction of two different matrices, multiplication, transpose, determinant, scaling of matrix.