Loading Portfolio
Ankur
Full-Stack Developer & AI Enthusiast
Full-stack developer specializing in AI-driven platforms and ML-powered recommendation systems with a strong foundation in Data Structures and Algorithms.
Major Achievements
Highlighting key competitive wins and professional milestones
Impact Statistics
Selected for Internal Smart India Hackathon, competing among 10,000+ participants nationwide.
Secured 7th Rank in Hackmanthan, competing among 4,000+ participants.
Selected for National-Level Taekwondo Championship, representing school in extracurricular competitions.
Solved 250+ DSA problems across LeetCode, GeeksforGeeks, and CodeStudio(Code360).
Selected for Internal Smart India Hackathon,
Selected for Internal Smart India Hackathon, competing among 10,000+ participants nationwide.
Secured 7th Rank in Hackmanthan,
Secured 7th Rank in Hackmanthan, competing among 4,000+ participants.
Selected for National-Level Taekwondo Championship, representing school in extracurricular competitions.
Selected for National-Level Taekwondo Championship, representing school in extracurricular competitions.
Solved 250+ DSA problems across LeetCode, GeeksforGeeks, and CodeStudio(Code360).
Solved 250+ DSA problems across LeetCode, GeeksforGeeks, and CodeStudio(Code360).
Featured Projects
Full-stack engineering and AI integration at the core of every build.
Arovia Healthcare, Anytime, Anywhere
- Developed Arovia, an AI-powered healthcare platform featuring a multilingual medical chatbot, GPS based doctor locator, and one-tap SOS emergency assistance for quick access to medical help.
- Enabled AI-driven health guidance and medicine recommendations, improving healthcare accessibility and helping users identify affordable treatment options.
- Designed an interactive full-stack system integrating conversational AI, location-based services, and emergency communication, delivering a seamless healthcare experience for both rural and urban users.
Agentic Bug Hunter - AI Bug Detection System
- Developed an agentic AI system to automatically detect bugs in C++ code snippets and generate clear explanations using contextual documentation and bug reference manuals.
- Implemented a modular multi-agent workflow for code parsing, bug detection, and explanation generation, enabling line-level precision in identifying faulty code segments.
- Designed the system to retrieve contextual information from external knowledge sources (MCP server / bug manuals) to improve explanation accuracy and debugging insights.
SkillIndia - AI Job & Course Recommendation System
- Developed an end-to-end ML-powered career recommendation platform that maps user skills → job roles → relevant online courses using TF-IDF embeddings and cosine similarity ranking.
- Integrated and processed Naukri Job Dataset and Udemy Course Dataset to build a unified system that recommends job roles and identifies skill gaps with relevant course suggestions.
- Trained and evaluated KNN, SVM, and Logistic Regression models using accuracy, precision, recall, and F1-score, and implemented automatic best-model selection for improved classification performance.
Technical Arsenal
A comprehensive overview of my technical stack and core competencies
Languages
Frameworks
Developer Tools
Database & Services
Coursework
Soft Skills
Education & Certifications
Academic foundation and verified technical credentials
Academic Journey
Lovely Professional University
Bachelor of TechnologyComputer Science and Engineering
Kendriya Vidyalaya 1STC Jabalpur School
Intermediate
Kendriya Vidyalaya 1STC Jabalpur School
Matriculation