
9
5
Pakistan
1 year of experience
Hi, I’m Bushra Iqbal! I’m a passionate Python Developer and a dedicated Full-Stack Developer who loves building creative, user-friendly, and problem-solving applications. My journey in programming has allowed me to explore both the frontend and backend sides of development, giving me the skills to design, develop, and deploy complete projects from scratch

What if your podcast could instantly reach millions of new listeners in Japan, Spain, or Germany, all while speaking in your own authentic voice? Global Podcaster is a revolutionary platform that breaks the language barrier for content creators, turning your local podcast into a global phenomenon. We solve a major problem for creators: reaching international audiences is expensive, time-consuming, and often results in robotic, impersonal dubbing. Global Podcaster changes everything with a seamless, AI-powered workflow. A web app where a podcaster can submit their RSS feed. The app automatically fetches new episodes, transcribes them, translates the text into a target language, and then uses a clone of the host's voice to generate a fully translated audio episode. The new translated podcast gets its own RSS feed.
21 Sep 2025

VoltAIon is an AI-driven initiative that merges materials science, sustainability, and advanced machine learning to revolutionize battery technology. Using GPT-5 and predictive modeling, we explore and design MOF-based and next-generation materials with superior charging, discharging, and energy storage performance. Our platform accelerates discovery by mining literature, predicting structure–property relationships, and generating innovative electrode designs. Beyond material design, VoltAIon focuses on sustainable recycling of lead-acid and lithium-ion batteries, identifying eco-friendly methods to recover valuable components and minimize waste. By uniting AI creativity and green engineering, VoltAIon envisions a future of smarter, cleaner, and more sustainable energy storage.
24 Aug 2025

Theft Detection & Live Location Surveillance AI is a smart security solution designed to prevent theft and monitor assets in real time using artificial intelligence and IoT technologies. The system integrates computer vision models (such as YOLO or OpenCV-based motion detection) to analyze live video feeds for suspicious or unauthorized activities. Upon detecting potential theft or forced access, the system instantly sends smart alerts to the user via app notifications or SMS. In parallel, the project employs GPS-based live tracking using microcontrollers like Raspberry Pi or Arduino with GPS modules to monitor the exact location of the object or person in motion. The combination of AI-powered detection and real-time location surveillance ensures that stolen items or intruders can be identified and tracked instantly. All events are time-stamped and logged, enabling forensic tracking, auditing, or legal evidence. This project is ideal for securing homes, vehicles, delivery systems, and remote infrastructure. The solution is scalable, cost-effective, and easy to deploy with minimal hardware and cloud integration.
8 Jul 2025

AGRO-SCAN is a smart agriculture solution designed to empower farmers through the use of AI, machine learning, and computer vision. Our project aims to address critical challenges in agriculture such as early crop disease detection, soil condition analysis, and timely advisory for improved crop yield. The system allows users (farmers or agri-experts) to upload images of their plants or soil. Using a pre-trained deep learning model, AGRO-SCAN identifies plant diseases or classifies soil health based on texture and visual indicators. Upon detection, the platform provides tailored recommendations, including treatment steps, preventive actions, and optimal farming practices. Key Features: 🌿 Plant Disease Detection via Image Upload 🌱 Soil Health Classification using Computer Vision 📊 Real-time Analytics Dashboard 📍 Multilingual Support for Local Farmers 📱 Mobile-Friendly Interface for Field Use With AGRO-SCAN, we aim to reduce crop loss, support sustainable farming, and empower farmers with AI-driven insights—all in an easy-to-use digital platform.
15 Jun 2025

This Flutter-based project is an AI-powered Voice Emotion Detection system that classifies human emotions from voice inputs using deep learning. Users can upload or record audio through an integrated Gradio web interface. The app extracts Mel-Frequency Cepstral Coefficients (MFCCs) using the librosa library to capture key features of the voice signal. These features are processed by a pre-trained Multilayer Perceptron (MLP) model built with TensorFlow/Keras, which identifies emotions like happy, sad, angry, and neutral. The predicted emotion is displayed in real-time within the Flutter UI. This app can be used in virtual assistants, customer support, mental health tracking, and interactive systems.
1 May 2025