When job placement knocks on the door, students often need clarification about which project to add to their resume. You can work on some of the data structures and algorithms projects. Data structure and Algorithms are the base of every technology like Blockchain, Big Data, etc. Regardless of your Branch, it's the most frequently required concept in the interview. Most importantly, data structures organize the data such that both machines and humans can understand it.
What is Data Structure?
- A data structure is a storage used to organize, process, retrieve, and store data. It is a way of organizing data on a computer to be accessed and updated efficiently.
- Data Structure is divided into two types: Linear Data Structures and Non-Linear Data Structures.
- For Example, Arrays, Stack, and Queues are examples of Linear Data Structure, and Linked List, Trees are examples of Non-Linear Data Structure.
What is an Algorithm?
- An algorithm is a technique for solving a problem or performing an analysis.
- Algorithms act as an accurate list of instructions that execute specified actions step by step in either hardware or software-based practices.
- Algorithms are widely used throughout all regions of IT.
What Are the Benefits of Conducting DSA Projects?
We have two benefits while conducting DSA Project,
- The first one is we will get to know the real-world use of Data structure and Algorithms.
- And the second benefit is, It will help in placements.
- When your resume has some projects related to Data Structure and Algorithms, the interviewer will get to know that you are aware of some of the Algorithms.
- And also, most of the questions in the interview will be related to that algorithm.
Best DSA Projects
1. Snakes Game (Arrays)
- The snake game is one of the most popular games on Nokia phones, released in 1998
- Today there are over 300 snake-like games just for ios.
- We can also build a snake game using the Linked List concept of Data Structures.
- A linked list is a linear data structure in which elements are not stored in contiguous memory locations.
- This game is very similar to singly-linked lists, assuming that the snake head is the linked list tail and the snake tail is the linked list head.
- Whenever the snake eats the pay, an extra node is added to its tail, i.e., an extra node is added to the linked list head. The same process continues until the snake hits the boundary or itself.
initscr(); cbreak(); noecho();
getmaxyx(stdscr, height, width);
width = (width + 1) / 2;
snk = new_node(width / 2, 0, NULL);
len = 1;
dir = DOWN;
food_x = rand() % width;
food_y = rand() % height;
} while (snk->x == food_x && snk->y == food_y);
gameover = false;
2. Cash Flow Minimiser (Graphs/Multisets/Heaps)
- Cash flow is the net balance of cash moving into or out of business at a specific time.
- An application cash flow minimizer can be built using Graphs concepts to minimize this cash flow.
- For example, Assume three friends: friend one, friend two, and friend three. Friend one has to give 4k to friend three and 2k to friend one.
- And friend two has to give 3k to friend three. Now minimize the flow between friend one and friend two by direct payment to friend three by friend one.
- An application can be created with the same mechanism for translation
void minCashFlowRec(int amount)
int mxCredit = getMax(amount), mxDebit = getMin(amount);
if (amount[mxCredit] == 0 && amount[mxDebit] == 0)
int min = minOf2(-amount[mxDebit], amount[mxCredit]);
amount[mxCredit] -= min;
amount[mxDebit] += min;
cout << "Person " << mxDebit << " pays " << min
<< " to " << "Person " << mxCredit << endl;
3. Sudoku Solver (Backtracking)
- Sudoku is a popular and interesting puzzle solver game often found in the newspaper.
- This game has a board where you have to fill in integral values.
- With the help of a backtracking algorithm, we can build a sudoku solver.
- A backtracking algorithm is a technique for solving the problem s recursively by trying to build a solution incrementally, i.e., one Piece at a time,
- The backtracking algorithm will have a start point, an Intermediate checkpoint, a Point not getting the feasible solution, and an End with the feasible solution.
- Every Piece of the board will start from the starting point and reach the intermediate checkpoint.
- If the solution is not feasible, it will backtrack to the starting point. This process will continue until we get a feasible solution.
void print(int arr[N][N])
for (int i = 0; i < N; i++)
for (int j = 0; j < N; j++)
int isSafe(int grid[N][N], int row, int col, int num)
for (int x = 0; x <= 8; x++)
if (grid[row][x] == num)
for (int x = 0; x <= 8; x++)
if (grid[x][col] == num)
int startRow = row - row % 3,
startCol = col - col % 3;
for (int i = 0; i < 3; i++)
for (int j = 0; j < 3; j++)
if (grid[i + startRow][j +
startCol] == num)
4. File Zipper(Greedy Huffman Encoder)
- There was a game like vice city where we used to compress and write into CDs and DVDs
- At that time, there were no pen drives, so these applications were more useful.
- We can also build the file zipper software using the greedy Huffman encoder.
- Huffman coding is a lossless data compression algorithm that uses the greedy technique for its implementation.
- This algorithm is based on the frequency of the character appearing in a file.
- The Huffman algorithm will accept the InputFile, encode it to a Huffman-coded file, and store it. The user can decode it into an original file if they need to
image = (int**)malloc(height * sizeof(int*));
for (i = 0; i < height; i++)
image[i] = (int*)malloc(width * sizeof(int));
int numbytes = (bmpsize - bmpdataoff) / 3;
for (i = 0; i < height; i++)
for (j = 0; j < width; j++)
fread(&temp, 3, 1, image_file);
temp = temp & 0x0000FF;
image[i][j] = temp;
5. Map Navigator(Dijkstra's Algorithm)
- Everyone is well-known for Google Maps. Google map is an efficient application showing the shortest path from source to destination.
- Google Maps application is built using Dijkstra's algorithm.
- We can build the same application for the metro using Dijkstra's algorithm
- Dijkstra's algorithm efficiently finds the minimum distance between nodes using the edge values.
- We can consider the stations as nodes and distance as edges; by using Dijkstra's algorithm, we can find the shortest time path and shortest cost path.
void dijkstra(int graph[V][V], int src)
for (int i = 0; i < V; i++)
dist[i] = INT_MAX, sptSet[i] = false;
dist[src] = 0;
for (int count = 0; count < V - 1; count++)
int u = minDistance(dist, sptSet);
sptSet[u] = true;
for (int v = 0; v < V; v++)
if (!sptSet[v] && graph[u][v] && dist[u] != INT_MAX
&& dist[u] + graph[u][v] < dist[v])
dist[v] = dist[u] + graph[u][v];
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In this tutorial, we saw the basic definition of Data Structure and Algorithm. We also saw the Importance of counting DSA Projects. We learned some of the projects on DSA in this tutorial. If you need clarification about which project to add to your resume, this tutorial will help you.
If you are looking to enhance your skills further, we would recommend you check out our software development courses which will enable you to gain the relevant skills and kickstart your career in the computer science domain. If you are looking to gain expertise in software development, we would recommend you to check Simplilearn’s Post Graduate Program in Full Stack Web Development in collaboration with Caltech CTME.
Do you have any questions for us? Please leave them in the comments section of this tutorial, and our experts will get back to you on it at the earliest.