B.Tech CSE @ Bennett University (2022–2026)
Passionate about Full-Stack Development and AI/ML
Always learning and building projects that solve real problems
Reach me: LinkedIn | Email
Languages: Python, JavaScript, C++, Java, XML
Frameworks & Libraries: React, Node.js, Express.js, Flask, FastAPI, LangChain
Databases: MySQL, MongoDB
Tools: Git, GitHub, Postman, VS Code, Android Studio
AI & ML:: LLMs (OpenAI, Hugging Face Transformers), NLP, Generative AI, Computer Vision
| Project | Description | Tech |
|---|---|---|
| Skelix | AI-powered platform with six integrated tools: Text Summarizer, Mind Map Generator (uses AI prompting to create structured diagrams from user-provided text), Fake News Detector, Image Caption Generator, Text-to-Audio Converter, and YouTube Notes Generator. Fine-tuned models like BERT, T5, and Whisper Small were leveraged for enhanced accuracy and performance. Designed for content creators, researchers, and students to streamline information processing and knowledge visualization. | Python, Flask, React, Hugging Face, BERT, T5, Whisper Small |
| Metromate | Smart metro route & fare calculator | JavaScript, Node.js, Express, MongoDB |
| Lost & Found | Android app to post and recover lost items | Java, XML, Android Studio |
| Interviue | Online interview platform with advanced features: Real-Time Video Calls (high-quality video & audio), Screen Sharing for presenting documents/code, Session Recording for future review, Authentication & Authorization with Clerk, Dynamic Routing for navigation, and Responsive Design using Tailwind CSS and Shadcn UI. | TypeScript, React, Node.js, Clerk, Tailwind CSS, Shadcn UI |
- System Design for scalable applications
- Agentic AI for autonomous and adaptive decision-making
- Generative AI models for content creation and enhancement
- Open Source Contribution workflows
- Healthcare AI Hub – An explainable AI platform for patient pre-screening and diagnosis support:
- AI Symptom Checker (NLP + XGBoost + SHAP for explainability)
- AI Report Analyzer (OCR + LLMs for interpretation & summarization of lab reports)
- AI X-Ray Analyzer (CNNs like CheXNet with Grad-CAM visual explainability)
- Fine-tuning experiments with models like BERT, T5, Whisper Small, and LLaMA 2 for domain-specific healthcare tasks
LinkedIn: https://www.linkedin.com/in/samyak-jain-5bb888252/
Email: jainsamyak5678@gmail.com