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vaibhav8a/README.md

Hi 👋, I'm Vaibhav Srivastava

Typing SVG

🚀 About Me

  • 🎓 3rd Year Computer Science student at PES University
  • 💻 Passionate about Full-Stack Development & Scalable Systems
  • 🤖 Experience in Machine Learning (Intern @ MindKonnected)
  • 📊 Love working with data, analytics & real-world applications
  • ⚡ Fast learner who enjoys building and experimenting
  • 🎯 Currently focused on backend + system design + AI projects

🛠️ Tech Stack

💻 Languages

Python C C++

🌐 Development

Frontend Backend Web Apps

🧠 Concepts

DSA OOP Machine Learning

⚙️ Tools

Git GitHub VS Code Jupyter

📌 Featured Projects

🧠 AI Enterprise Knowledge Manager

🔗 https://github.com/vaibhav8a/ai-enterprise-knowledge-manager

  • Multi-agent enterprise knowledge assistant on the OpenAI Agents SDK — 7 agents with real handoffs and agents-as-tools
  • RAG over PDF/DOCX/TXT/MD (ChromaDB + local embeddings) with page-level citations on every answer
  • Structured Pydantic outputs, persistent session memory, human-in-the-loop approval before any write
  • Grounded by design: answers only from your documents, and says so when the answer isn't there
  • Provider-portable (OpenAI or any compatible endpoint) · 142 tests runnable with no API key

📊 BookPulse

🔗 https://github.com/vaibhav8a/BookPulse

  • Built a data-driven app to analyze Amazon bestseller datasets
  • Implemented trend analysis & data visualization
  • Focused on clean UI + backend integration

🌐 E-GRAM-CONNECT

🔗 https://github.com/vaibhav8a/E-GRAM-CONNECT

  • Full-stack platform for Gram Panchayat & residents
  • Features: grievance system, notices, dashboards

🥗 AI-NUTRITION-TRACKER

🔗 https://github.com/vaibhav8a/AI-Nutrition-tracker

Full-stack AI-powered nutrition tracking platform Features: calorie tracking, meal logging, personalized recommendations, dashboards

🤝 Connect With Me

📈 GitHub Stats

⭐ “Building real-world solutions with code and constantly leveling up.”

Popular repositories Loading

  1. Machine-Learning-Applications-in-Modeling-Sediment-Grain-Size-Using-Hydrodynamic-and-Biogeochemical- Machine-Learning-Applications-in-Modeling-Sediment-Grain-Size-Using-Hydrodynamic-and-Biogeochemical- Public

    This study predicts sediment particle size distributions using machine learning models, including Random Forest and Support Vector Regressor, based on hydrodynamic, water chemistry, and biological …

    Jupyter Notebook 1

  2. BookPulse BookPulse Public

    JavaScript 1

  3. AI-Nutrition-tracker AI-Nutrition-tracker Public

    AI-Powered Health & Nutrition Tracker A full-stack web application built using Flask and Firebase that helps users monitor their daily calorie and macronutrient intake (protein, carbs, and fats). T…

    Python 1

  4. Spotify-Album-Finder Spotify-Album-Finder Public

    A modern music discovery app to search albums, artists, and songs using the Spotify API.

    JavaScript 1

  5. React_E-Commerce-main React_E-Commerce-main Public

    JavaScript

  6. E-GRAM-CONNECT E-GRAM-CONNECT Public

    TypeScript