🚀 Technical Contributions 

🧠 ThinkWithInjamul – AI-Powered Document Chatbot

A real-time conversational web app leveraging LLMs to answer user queries based on uploaded PDF documents. Built using LangChain for prompt orchestration and HuggingFace embeddings for semantic understanding.

• Features:
  
  

  • Conversational AI with memory
    
    

  • Supports dynamic model switching via Groq API
    
    

  • Prompt templating for contextual interactions
    
    

  • Document parsing using PDF loaders
    
    

• Tech Stack: Python, Streamlit, LangChain, HuggingFace, Groq API
  
  

🚗 Semi-Automated Parking Management System

An intelligent parking management platform integrating YOLOv8 object detection with OCR and POS-based reporting for real-time vehicle tracking and automated billing.

• Features:
  
  

  • Vehicle number plate recognition
    
    

  • Barrier detection and entry/exit logging
    
    

  • Billing system with user role control
    
    

  • Data visualization for daily reports
    
    

• Tech Stack: Python, Django, OpenCV, YOLOv8, MySQL
  
  

📄 The Smart ATS – Resume vs. JD Analyzer

A machine learning web app that evaluates resumes against job descriptions using NLP techniques to provide meaningful feedback to job seekers or HR professionals.

• Features:
  
  

  • Intelligent matching using vector embeddings
    
    

  • Detailed skill comparison and scoring
    
    

  • Resume parsing and keyword matching
    
    

• Tech Stack: Python, Django, Scikit-learn, NLP (spaCy, transformers)
  
  

🏏 IPL Score Prediction System

A machine learning project focused on predicting the total score of IPL matches based on input match data like team stats, toss, pitch condition, etc.

• Features:
  
  

  • Regression model-based forecasting
    
    

  • Clean web interface for predictions
    
    

  • Data preprocessing pipeline
    
    

• Tech Stack: Python, Pandas, Scikit-learn, Streamlit
  
  

🛠️ Technical Skills & Expertise

💡 Core Domains

• Machine Learning (ML): Regression, Classification, Clustering, Evaluation Metrics
  
  

• Deep Learning: CNNs, Transfer Learning, Real-time Object Detection (YOLO)
  
  

• Natural Language Processing (NLP): Text Classification, Named Entity Recognition, Embedding Models
  
  

🤖 LLM Tools & AI Frameworks

• LangChain, HuggingFace Transformers, OpenAI GPT, Pinecone Vector DB
  
  

• PDF loaders, Prompt Templates, ChromaDB, Groq API
  
  

🧰 Backend & DevOps

• Web Frameworks: Django, FastAPI, Streamlit
  
  

• Cloud & Deployment: AWS EC2, S3, Docker, Kubernetes
  
  

• Databases: MySQL, SQLite
  
  

• Tools: Git, GitHub Actions, REST APIs, CI/CD
  
  

👨‍💻 Programming Languages

• Proficient: Python
  
  

• Intermediate: C, C++, Java