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Areesha Tariq

NUST · 2026 · 425560
Email
artariq.bscs22seecs@seecs.edu.pk
Phone
0923468639864
LinkedIn
https://www.linkedin.com/in/areesha-tariq-04525624a
GitHub

Academic

Program
CGPA
2.6
Year
2026
Education
BSCS SEECS , Islamabad , 2.56 (2026)
Address
CARE OF M. YASEEN, 94, SHUJA ROAD, CLIFTON ALLAMACOLONY, IQBAL TOWN , Rawalpindi , Pakistan
DOB

Career

Current role
Target role
Skills
PROFESSIONAL PROFILE I am a Computer Science undergraduate with a keen interest in developing practical solutions that address real-world challenges through technology. I approach problems with a structured and creative mindset, translating complex concepts into actionable, user- focused outcomes. I have experience collaborating on multidisciplinary projects, managing end-to-end development processes, and quickly adapting to new tools and technologies. I am particularly passionate about innovation and applying technology to create meaningful societal and environmental impact. EDUCATION BSCS SEECS , Islamabad , 2.56 (2026) INTERNSHIP EXPERIENCE Communication Systems and Networking (CSN) Lab 25-Jun-2025 - 25-Aug-2026 1. AI Deployment on Edge Devices: Learned how to deploy deep learning models on an NVIDIA Jetson Nano. Using TensorRT allowed optimization of inference times and achieved better latency. This will help in wildfire detection for drones and ensure operational autonomy in remote environments without cloud dependency. 2. Web Dashboard Planning: Finalized the functional requirements and wireframing for a web dashboard. Established implementation details providing a clear development blueprint for the team. 3. Drone Application Development: Initiated development of the drone's notification application, starting with the Live Satellite Map integration using Mapbox and user interface. 4. Technical Documentation: Adopted LaTeX for writing professional research papers and technical reports to ensure clear and formal documentation of the DL models we trained and research we conducted. FINAL YEAR PROJECT AI Powered Drone System for Real Time Fire Detection and Mitigation This project addresses the problem of late wildfire detection and slow response in remote and hard-to-access areas. It uses AI- powered drones with onboard edge computing to detect fires early, monitor their spread, and identify trapped people or animals in real time. Satellite data and community reports are combined through a confidence system to reduce false alarms and ensure accurate alerts. The system delivers live information through web and mobile platforms, enabling faster coordination, better decision- making, and more effective wildfire mitigation. TECHNICAL EXPERTISE Full-Stack Developer Full-Stack Developer & Tech Enthusiast with immense insterest in all forms of creative problem solving. Experienced in developing responsive font-end applications with React, TypeScript, and Tailwind CSS, with backend development using Node.js. Skilled in working with Git, Docker, and Vite.

AI enrichment

I am a Computer Science undergraduate with a keen interest in developing practical solutions that address real-world challenges through technology. I approach problems with a structured and creative mindset, translating complex concepts into actionable, user- focused outcomes. I have experience collaborating on multidisciplinary projects, managing end-to-end development processes, and quickly adapting to new tools and technologies. I am particularly passionate about innovation and applying technology to create meaningful societal and environmental impact.
Status: ai_done
Provenance
Source file:
Created: 1777448792