Md Dilnawaz Ahmad

About

Third-year B.Tech student in Artificial Intelligence and Data Science with hands-on experience building and deploying end-to-end applications in machine learning, NLP, computer vision, and IoT. Strong in Python, data analysis, model development, and full-stack integration, with a solid foundation in DSA and databases.

Education

• Bachelor of Technology
  IIITDM Kurnool
  Artificial Intelligence and Data Science · Aug 2024 – 2028
• Senior Secondary
  ST Raza International School
  CBSE Board · 2021 – 2023

Skills

• SQL
• C
• CSS
• Computer Vision
• Deep Learning
• HTML
• Python
• Machine Learning
• JavaScript
• Matplotlib
• NumPy
• Pandas
• Streamlit
• scikit-learn
• OpenCV
• React
• TensorFlow
• Scipy
• Anaconda
• Keras
• OpenAI API
• API Integration Understanding
• Natural Language Processing
• Database Design
• Data Structures and Algorithms
• Oop
• Advanced DBMS

Projects

• AI-Based Assistance System for Blind People
  C, OpenCV, Speech API

  Created an assistive-technology prototype combining computer vision, hardware input, and speech output for visually impaired users. Enabled voice-guided workflows for food ordering and emergency assistance on low-cost hardware.

• Intelligent Driving Safety System (IDSS)
  ESP32, Arduino, MPU6050, GPS, Bluetooth

  Built an IoT-based real-time driver safety monitoring system integrating multiple hardware components. Delivered detection for overspeeding, harsh braking, and accidents, with a driver behavior scoring algorithm and an RC-car prototype for live monitoring.

• Jarvis – AI Virtual Assistant
  Python, OpenAI API, Speech Recognition, REST APIs

  Architected a voice-enabled AI assistant with speech recognition, text-to-speech, REST APIs, and OpenAI API integration. Implemented natural language understanding and a modular command architecture for 10+ voice commands.

• AI-Powered WhatsApp Chat Analyzer
  Python, Streamlit, Pandas, NLP, Matplotlib, WordCloud

  Built and deployed an interactive Streamlit web application that parses exported WhatsApp chat logs and surfaces conversation-level insights. Includes analytics modules such as message statistics, user activity timelines, heatmaps, emoji analysis, word-cloud visualizations, and sentiment analysis.