Harshit Narayan Saraswat is pursuing his B.E. in Information Technology from M.B.M. Engineering College in Jodhpur, India, where he is currently in his 8th semester and has maintained a 67% average up until the 6th semester. He has developed a professional text editor in Java and worked on applying algorithms like Ant Colony Optimization and Monte Carlo to artificial intelligence in game development. His technical skills include programming languages like Java, C, C++, C#, and Assembly, as well as software like Unity3D. He was the coordinator for the Gita Championship competition with over 5,000 participants and the Vedanta Club at his college.
There are different moods of data sources primarily audio, image, text, and sensors. Human mood is identified from facial expression and speech tones. Physical activities are used to be detected by sensors which humans carry i.e cellphones. Using such techniques, applications are predicted, for benefit to users. It is a smart music player that keeps learning your listening habits and plays the song preferred by your current mood, activities etc. Facial expression recognition include image processing, done using multiple algorithms, with feature extraction, and verified into different emotions. Ankush Poreddiwar | Tejaswini Nagpure | Manju Korde | Prof. Sarvesh Warjurkar "Detect Mood and Play Song Accordingly" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd43675.pdf Paper URL: https://www.ijtsrd.comengineering/information-technology/43675/detect-mood-and-play-song-accordingly/ankush-poreddiwar
There are different moods of data sources primarily audio, image, text, and sensors. Human mood is identified from facial expression and speech tones. Physical activities are used to be detected by sensors which humans carry i.e cellphones. Using such techniques, applications are predicted, for benefit to users. It is a smart music player that keeps learning your listening habits and plays the song preferred by your current mood, activities etc. Facial expression recognition include image processing, done using multiple algorithms, with feature extraction, and verified into different emotions. Ankush Poreddiwar | Tejaswini Nagpure | Manju Korde | Prof. Sarvesh Warjurkar "Detect Mood and Play Song Accordingly" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd43675.pdf Paper URL: https://www.ijtsrd.comengineering/information-technology/43675/detect-mood-and-play-song-accordingly/ankush-poreddiwar
1. Harshit Narayan Saraswat Mob – 9509243282
B.E., Information Technology (8th SEM.)
M.B.M. Engineering College Jodhpur
Email-harshitnsaraswat@gmail.com
Education
Class Year Board Institution Marks
B.E 2015 JNVU M.B.M. Engineering College 67%(up to 6th sem.)
12th 2011 RBSE Yadav Bharti, Bikaner 65.69%
10th 2009 RBSE Aadarsh vidhya mandir
Gangashahar, Bikaner
74.5%
Summer Internships
1) Professional Text editor in JAVA May-Jul ‘14
Developed a professional “Text editor” in JAVA. Build text editor with
various basic functions like search, replace, file open, file save etc. and
user friendly GUI.
2) Artificial Intelligence in Game Development (IIT Kanpur) May-Jul ‘15
Developed “Pac-man” Game in Unity3D Software.
Applied ACO (Ant Colony Optimization) algorithm in Pac-man Game
referred in paper “AntBot: Ant Colonies for Video Games”.
Applied Monte Carlo algorithm in “Pacman” game referred in paper
“Using Genetic Programming to Evolve Heuristics for a Monte Carlo
Tree Search Ms Pac-Man Agent”.
Technical Skills
Programming Language Java (core), C, C++, C#, assembly language 8085
Software CEDAR Logic, Cisco Packet Tracer 5.3.3(Networking), Turbo C
Unity3D, Eclipse.
Operating Systems Linux(Ubuntu), Windows
2. Academic Area of Interest
Operating System
Programming, Algorithms
Artificial Intelligence
Statistical Science
Position of responsibility
Coordinator, Gita Championship 2014-15
Guided team of 46 volunteers to conduct Gita championship, state level competition
of 5000 participants
Carried out an extensive publicity campaign to attract 20 colleges, 102 schools
Managed Data-Base of participant’s data, seat allotment, invigilation, rank allotment
Coordinated drama, prize distribution ceremony
Coordinator – Vedanta Club, MBM College, Jodhpur.
Extracurricular activities
Hobbies - Poetry writing, Reading philosophical Literature, Drama