class YashikaSoni:
def __init__(self):
self.name = "Yashika Soni"
self.pronouns = "She/Her"
self.location = "Jaipur, Rajasthan, India 🇮🇳"
self.education = "BCA (IT) @ Biyani Girls College, Jaipur (2023–2026)"
self.role = "AI/ML Engineer | Continuous Learner"
self.focus = ["NLP", "LLMs", "Full-Stack AI Apps", "Data-Driven Solutions"]
self.currently = "Learning RAG Pipelines & Fine-tuning LLMs"
def say_hi(self):
print("Let's build real-world AI together 🚀")🤖 Jarvis — AI Assistant (Web App)
Originally a tkinter desktop assistant, now rebuilt and deployed as a full-stack web app: a browser-based AI assistant with a dark cyan HUD interface, live voice I/O via the Web Speech API, and Claude AI powering every conversation.
| Attribute | Details |
|---|---|
| Stack | FastAPI backend, HTML/CSS/JS frontend, Web Speech API, Anthropic SDK (Claude Sonnet) |
| Deployment | Backend on Render · Frontend on Vercel |
| Live Demo | Frontend · Backend API |
| Design | Dark cyan HUD aesthetic, browser-native voice input/output — no desktop runtime required |
| Repository |
Migrating from a Python desktop app to a deployed web app meant swapping pyttsx3/SpeechRecognition for the browser's own Web Speech API and re-architecting the UI as HTML/CSS/JS instead of tkinter — while keeping the same Claude-powered conversation core.
🌕 Lunar Subsurface Ice Detection Rover — BAH 2026 (ISRO / Hack2Skill)
A rover system concept for detecting subsurface lunar ice, built for Bharatiya Antariksh Hackathon 2026. Adapted from an earlier GPS-denied Mars drone reinforcement-learning environment into a lunar ice-detection context.
| Attribute | Details |
|---|---|
| Event | Bharatiya Antariksh Hackathon 2026 (BAH 2026), organized with ISRO via Hack2Skill |
| Team | Team Lead, "Innovis" |
| Origin | Adapted from an earlier AstroNav Mars-drone RL environment |
| Deliverables | Full submission deck, GitHub documentation, and system architecture diagrams |
📅 AI Timetable Generator — Constraint-Aware Academic Scheduling System
An intelligent timetable generation system that automatically allocates classes, rooms, teachers, and time slots while enforcing academic and logistical constraints. Designed for schools, colleges, training centers, and any structured learning program at scale.
| Project | What it is | Stack |
|---|---|---|
| PyThink | Offline Python problem trainer with rule-based feedback, an XP/level system, and a dark hacker aesthetic | Python |
| Kitchen Copilot | AI meal planner built during the PromptWar hackathon | React, TypeScript, Vite, Tailwind CSS, Gemini API |
| student-wellness-ai | AI-powered mental wellness tracker for students — stress analysis, emotion reflection, and personalized insights | TypeScript, Gemini AI |
(Repo links for PyThink and Kitchen Copilot: add them here once you confirm the URLs.)
| Recognition | Details |
|---|---|
| 🌕 BAH 2026 | Bharatiya Antariksh Hackathon — lunar ice-detection rover — 2026 |
| 🥇 IBM Certified | Artificial Intelligence & Advanced IT Skills — Apr 2026 |
| ⚡ MUJ HackX 3.0 | 36-Hour International Hackathon @ Manipal University Jaipur — Nov 2025 |
| 🤖 AI Chatbot — Biyani College | Built Python + Rasa-powered assistant for college website — Oct 2025 |
| 🎓 Data Science Workshop | Ducat India — Model Training & Neural Networks — Nov 2025 |
| 🛠️ AI Training Program | Biyani Group of Colleges — Nov 2024 |
| 🌐 Google GDG DevFest | Attended GDG DevFest Jaipur |
| 💼 Software Developer Intern | Acmegrade, Bengaluru — ML with Python — Dec 2023 – Feb 2024 |
| Certificate | Issuer | Year | Core Skills |
|---|---|---|---|
| AI & Advanced IT Skills | IBM | Apr 2026 | LLMs, Jira Align, Enterprise AI |
| MUJ HackX 3.0 — International Hackathon | Manipal University Jaipur | Nov 2025 | Problem Solving, Team Engineering |
| Data Science Workshop | Ducat India | Nov 2025 | Model Training, Neural Networks |
| AI/ML — Chatbot Creation | Biyani Girls College | Oct 2025 | Python, Rasa, NLP |
| AI Training Program | Biyani Group of Colleges | Nov 2024 | AI Tooling, Public Speaking |
Languages
ML / DL / NLP
Web & Full-Stack
Data & Analysis
Tools & Platforms
learning:
- RAG Pipelines & Retrieval-Augmented Generation
- Fine-tuning LLMs with LoRA / QLoRA
- Transformer architectures from scratch
- React · Node.js · MongoDB full-stack track
building:
- AI-powered assistants with production-grade architecture
- NLP tools for real-world data problems
- Constraint-based optimization systems
exploring:
- Prompt engineering & LLM evaluation frameworks
- Vector databases (Pinecone, Weaviate, ChromaDB)
- Agent frameworks (LangChain, LlamaIndex)
- Open-source model deployment pipelines
open_to:
- AI/ML open-source collaborations
- Research internships in NLP / LLMs
- Hackathons & competitive AI challenges
- Entry-level AI/ML engineering rolesWorking on something in AI/ML, NLP, or LLMs? Always open to collaborate.
"Continuous learning is the minimum requirement for success in any field."