@yashit_chugh
Yashit Chugh
@yashit_chugh
B.Tech CSE (AI & DS) student passionate about Python & Flask, building AI-powered platforms .
B.Tech CSE (AI & DS) student passionate about Python & Flask, building AI-powered platforms .
Bhiwani, India




# š Hi, I'm Yashit Chugh
š About Me
I'm a motivated B.Tech CSE (AI & Data Science) student passionate about building intelligent systems that solve real-world problems. I enjoy blending AI + Web + Product Thinking to create scalable and impactful solutions.
- š Working on LLMs & AI-powered platforms
- š± Learning Generative AI with Python
- š” Interested in Startups, Innovation & Tech for Social Impact
- š§ Strong in problem-solving & system design
- šÆ Goal: Build AI-first products that create meaningful change
š ļø Tech Stack
Languages & Frameworks
AI / Data
Tools
š Hackathon Projects
šØ Platform for Local Artisans
Gen-AI Exchange Hackathon Project
An AI-powered marketplace enabling local artisans to reach global buyers through immersive experiences and storytelling.
⨠Key Features:
- š¤ AI-Generated Product Stories (Culture + Origin)
- š Multilingual Listings for Global Reach
- š§ Computer Vision for Handmade Verification
- š¦ QR-Based Digital Craft Passport
- šļø 3D Product Visualization
- š° Fair Pricing AI for Artisans
Tech Stack:
Python
Flask
GenAI
Computer Vision
3D
REST APIs
š„ explaining soln :
ā¶ļø Watch here:https://drive.google.com/file/d/1zs4Fq28Cd1ZS17ikpCHTY0VrPbfYyac9/view?usp=drive_link
š PlacementReady
NexHack Hackathon | Geeta University, Panipat
An AI-driven placement preparation platform helping students prepare for top tech roles.
⨠Key Features:
- š Personalized Company-Wise Prep Plans
- š¤ AI Mock Interviews with Feedback
- š ATS-Optimized Resume Generator
- š¢ Interview Pattern Analysis
- š Skill Analytics Dashboard
Tech Stack:
Python
Flask
NLP
Machine Learning
Data Analytics
š What Iām Currently Exploring
- š¹ Large Language Models & RAG Systems
- š¹ Multi-modal AI (Vision + Text + Voice)
- š¹ SaaS & AI Product Development
- š¹ Cloud Deployment Fundamentals (GCP / AWS)
- š¹ Startup-Scale Architectures
ā Building consistently. Learning aggressively. Shipping real things.