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akshitajundiya/README.md

Hi there, I'm Akshita πŸ‘‹



πŸ“– Overview & Repositories

πŸ“‚ Overview πŸ’» Repositories πŸš€ Projects ⭐ Stars
Building scalable systems AI + Full Stack Projects Real-world engineering apps Continuously growing

⚑ Software Engineer | AI Systems Builder | Full Stack Developer


🧠 About Me

πŸŽ“ B.Tech CSE Student at IIIT Nagpur (CGPA: 8.8)

πŸ’‘ Passionate about building scalable applications, AI-powered systems, and backend-driven products.

βš™οΈ Strong interests in:

  • Full Stack Development
  • Artificial Intelligence & Machine Learning
  • Backend Engineering
  • Distributed Systems
  • Competitive Programming

πŸ”₯ I enjoy solving complex engineering problems and building intelligent systems with real-world impact.


πŸ›°οΈ Currently Working On

  • πŸ€– LLM-powered intelligent retrieval systems
  • πŸ“± Android productivity applications with Firebase integration
  • 🧠 AI/ML pipelines and NLP-based applications
  • βš™οΈ Backend systems using FastAPI and Node.js
  • πŸš€ Scalable APIs and developer-focused tools

πŸ† Achievements

  • ⭐ Solved 750+ DSA problems across coding platforms
  • ⭐ CodeChef 3β˜… Programmer
  • ⭐ Hackathon Runner-Up
  • ⭐ Participant β€” HackRx 6.0 AI Hackathon
  • ⭐ Built multiple AI + Full Stack projects

✦ Featured Projects

πŸ€– Intelligent Insurance Query Retrieval System

Built an LLM-powered document intelligence platform capable of parsing insurance documents and answering complex claim-related queries.

✨ Features

  • Semantic retrieval using vector embeddings
  • Multi-document support (PDF, DOCX, TXT)
  • FastAPI backend with scalable ingestion pipeline
  • Integrated Groq/Gemini/OpenRouter APIs
  • Streamlit chatbot interface

βš™οΈ Tech Stack

Python β€’ FastAPI β€’ LlamaIndex β€’ ChromaDB β€’ Streamlit β€’ LLM APIs


πŸ›’ AI Shopping Assistant

Developed an AI-powered shopping recommendation system that analyzes user preferences and product metadata to generate intelligent suggestions.

✨ Highlights

  • LLM-based query understanding
  • Semantic recommendation workflows
  • Optimized backend response handling
  • Scalable API architecture

βš™οΈ Tech Stack

Python β€’ FastAPI β€’ Vector Embeddings β€’ LLM APIs


πŸ“± Smart Task Management App

Built a feature-rich Android productivity application with reminders, recurring tasks, Firebase authentication, and cloud synchronization.

✨ Features

  • Dynamic RecyclerView updates
  • Scheduling workflows
  • Firebase Authentication
  • Cloud synchronization
  • Swipe actions and task filtering

βš™οΈ Tech Stack

Kotlin β€’ Firebase β€’ Android Studio β€’ XML


⌘ Tech Stack

Languages

C++ Python JavaScript Kotlin


Frontend & Backend

React Next JS NodeJS FastAPI


AI / ML

PyTorch TensorFlow Scikit Learn


Databases & Tools

MongoDB PostgreSQL Docker Git


πŸ… GitHub Trophies


πŸ“ˆ Contribution Activity


🌐 Connect With Me


✨ Fun Fact

πŸ’­ I love building systems that combine AI intelligence with scalable engineering.

Pinned Loading

  1. BREAST_CANCER BREAST_CANCER Public

    Jupyter Notebook

  2. Emotion-Recognition Emotion-Recognition Public

    Forked from kevgeo/Emotion-Recognition

    A program to detect faces from live feed of webcam and correctly identify the emotion of the person from just the face.

    Python

  3. Walmart Walmart Public

    Python

  4. Zeotap Zeotap Public

    TypeScript