Ashmit Singh

I developed a Python program to compress and decompress text files using Huffman Coding, achieving significant file size reduction and improving storage efficiency, and implemented frequency analysis to create a dictionary of character frequencies from the input text, facilitating the construction of the Huffman Tree by providing the necessary data for priority-based node creation.
Also, I built a min-heap and Huffman tree by leveraging the frequency dictionary, combining nodes with the lowest frequencies to form the tree, and assigning optimal binary codes to each character, thus minimizing redundancy and maximizing compression.
Encoded text into a compressed binary format by using the generated Huffman codes, padding the encoded text to ensure it is a multiple of 8 bits, and converting it into byte arrays for efficient storage in a binary format.
Accurately decompressed files by reading the compressed binary file, removing the padding to retrieve the original encoded text, and decoding the binary data back to the original text using the reverse of the Huffman codes, ensuring data integrity and correctness.

Huffman Coding Compression and Decompression Tool

I developed the 2048 game using Python and Tkinter, featuring smooth tile movements and an intuitive GUI, and implemented core game mechanics, including tile movement, merging, and new tile generation.
Designed an interactive GUI with Tkinter, handling key events for seamless and responsive gameplay and including a real-time score display.
Organized modular code structure by separating the project into distinct modules for game logic, GUI components, and utility functions, promoting code reuse and maintainability.
Overcame challenges by optimizing algorithms for efficient tile movements and merges, ensuring a responsive GUI, and enhancing the user experience with an intuitive interface.

2048 Game with Python and Tkinter

Indian Institute of Technology Hyderabad, Bachelor of Technology, in Engineering Physics

Indian Institute of Technology Hyderabad / Bachelor of Technology, in Engineering Physics

Detection of Exoplanets using Machine Learning

Cracked India's most difficult Exam

Scored 94 % in my class 12th

Accomplishments / Portfolio

Communication

Python3

Management

Machine learning

Data analysis

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