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This project focused on disease outcome survival analysis using Kaplan–Meier survival curves and Cox proportional hazards models to evaluate how clinical factors influence patient survival over time. The analysis included proportional hazards assumption checks, survival probability estimation, and interpretation of risk patterns across variables such as hormonal therapy and tumor grade.
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The Blinkit sales analysis reveals that medium-sized outlets contribute the highest share of revenue (42.3%), followed by small outlets (37%), while large outlets contribute the least, indicating that bigger size does not always mean better performance. Tier 3 cities generate the highest overall sales, outperforming Tier 1 and Tier 2 locations, suggesting stronger demand in developing markets. Sales from older outlets are significantly higher, reflecting customer loyalty and brand establishment over time. Additionally, low-fat products consistently outperform regular items across all tiers, highlighting a growing customer preference for healthier options and guiding future expansion, marketing, and inventory strategies.
Introducing AI-Powered Scholarship Guidance Platform
𝐀𝐈 𝐒𝐜𝐡𝐨𝐥𝐚𝐫 𝐇𝐮𝐧𝐭
Proud to present AI Scholar Hunt, my Final Year Project developed with 𝐌. 𝐓𝐚𝐲𝐲𝐚𝐛 𝐙𝐮𝐧𝐚𝐢𝐫 at Khwaja Fareed University of Engineering & Information Technology (KFUEIT).
𝐀𝐈 𝐒𝐜𝐡𝐨𝐥𝐚𝐫 𝐇𝐮𝐧𝐭is an intelligent platform designed to simplify the international scholarship journey for students through the power of Artificial Intelligence, NLP, and Generative AI.
✨𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬:
• 🤖 AI Chatbot for scholarship-related guidance
• 📄 Smart document checklist generation
• 🎯 Personalized scholarship recommendations
• 📊 ATS Resume Analyzer with improvement suggestions
• ⏰ Deadline tracking & application reminders
• ⚖️ Scholarship comparison module
• 🔐 Secure user authentication & profile management
🛠 𝐁𝐮𝐢𝐥𝐭 𝐖𝐢𝐭𝐡:
Python • Flask • SQLite • Generative AI • RAG (Retrieval-Augmented Generation) • NLP • HTML • CSS • JavaScript
🎯 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐖𝐞’𝐫𝐞 𝐒𝐨𝐥𝐯𝐢𝐧𝐠:
Many students struggle to understand scholarship requirements and often rely on expensive consultants. 𝐀𝐈 𝐒𝐜𝐡𝐨𝐥𝐚𝐫 𝐇𝐮𝐧𝐭 provides a smart, affordable, and accessible solution—helping students prepare documents, evaluate eligibility, and discover opportunities with confidence.
💡𝐕𝐢𝐬𝐢𝐨𝐧:
To empower students worldwide with intelligent scholarship guidance and make global education opportunities more accessible.
#AI #GenerativeAI #NLP #Flask #Python #FinalYearProject #ScholarshipGuidance #WebDevelopment #StudentInnovation
A deep learning system that predicts the assembly order of protein complexes using Graph Neural Networks. Trained on the Marsh-2013 benchmark dataset, achieving Kendall τ=0.73 — competitive with published research.
Built in PyTorch with full end-to-end pipeline: data preprocessing, GNN architecture design, ablation studies, and interactive visualization dashboard. Deployed on Hugging Face for live inference.
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