GSoC 2026 Project Proposal: AI/ML Implementation

16 views
Skip to first unread message

lakshdeep singh

unread,
Mar 31, 2026, 2:15:52 PMMar 31
to dart-gsoc

Contributor: Lakshdeep Singh Institution: Jodhpur Institute of Engineering and Technology Major: B.Tech CSE (Artificial Intelligence and Machine Learning) Academic Standing: 9.45 SGPA

1. Introduction

I am an aspiring AI/ML Engineer and Computer Science student with a strong academic record of 9.45 SGPA. My technical background is rooted in building data-driven, intelligent applications, specifically focusing on EDA and predictive modeling. I have a deep interest in the intersection of machine learning and real-world safety systems.

2. Technical Proficiency

  • Languages: Proficient in Python (NumPy, Pandas, Scikit-Learn), SQL, Dart, C, and Java.

  • Tools: Expert user of Git, GitHub, Jupyter Notebook, VS Code, and Google Colab.

  • Core Skills: Data Structures & Algorithms, Machine Learning, and App Development.

3. Relevant Experience & Projects

  • Microsoft TechSaksham Virtual Internship: Completed hands-on training in AI/ML, Python, and data analysis, applying these concepts to real-world problem scenarios.

  • Alita (Women Safety App): Engineered a high-performance, AI-integrated safety app with real-time SOS triggers and live GPS tracking.

  • Hospital Assistant System (Jiet'X): Developed a Python-based administrative tool using SQL to automate patient records and billing, optimizing data integrity through efficient CRUD functionalities.

  • NLP & Recommendation Systems: Built intelligent applications involving NLP chatbots and user-focused recommendation engines.

4. Certifications

I have reinforced my practical skills with certifications in:

  • Introduction to Artificial Intelligence and Machine Learning (Infosys).

  • Google Exploratory Data Analysis.

  • IBM Python for Data Science.

5. Soft Skills & Analytical Mindset

Beyond technical skills, I bring a strategic mindset to open-source contribution. I secured 2nd and 3rd positions consecutively in chess competitions , which has developed my critical thinking and ability to plan several steps ahead. I am also trained in Ethics in Engineering Practice and Leadership.

6. Proposed Implementation Plan

  • Community Bonding: Finalize the development environment and discuss edge cases for the project with mentors.

  • Phase 1: Data collection, preprocessing, and performing rigorous Exploratory Data Analysis.

  • Phase 2: Model selection and initial training using Scikit-Learn or relevant frameworks.

  • Phase 3: Optimization, testing, and ensuring robust system design and documentation.

Contact Information:

Reply all
Reply to author
Forward
0 new messages