Abhi Ranjan

I am a Computer Science undergraduate at IIIT Naya Raipur (Batch 2023–2027) with a strong interest in building intelligent, data-driven, and scalable software systems. My work focuses on combining AI, web technologies, and automation to deliver impactful and efficient solutions.

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About Me

• Currently exploring AI-driven systems, Next.js frameworks, and real-time applications.
• Skilled in developing full-stack applications with focus on performance, scalability, and maintainability.
• Co-inventor of a patented IoT-enabled cradle designed for enhanced infant care.
• Passionate about building next-generation AI and automation platforms that create measurable value.

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Technical Skills

Languages: Python, C/C++, SQL (Postgres), JavaScript, HTML, CSS
Frameworks and Libraries: Next.js, React, Node.js, Express, Flask, FastAPI, Material-UI
Databases: MongoDB, PostgreSQL
Cloud and Tools: AWS Services, Supabase, Firebase, Git, Vapi, shadcn/ui, Cloudflare
Data Science Tools: Pandas, NumPy, Matplotlib

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Projects

PrepWise

Tech Stack: Next.js, TypeScript, Tailwind CSS, Firebase, Google Gemini, Vapi

• Developed a full-stack AI interview platform featuring adaptive questioning and instant feedback.
• Integrated WebRTC for real-time voice streaming and automated scoring algorithms.
• Improved user engagement by over 90% and reduced latency to under 200 ms with optimized API integration.
• Conducted user trials with 50+ students, resulting in a 40% improvement in interview readiness scores.

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AI-Short Vid

Tech Stack: Next.js, Remotion, Supabase, Google Gemini, AssemblyAI, Cloudflare, Clerk, Neon

• Built an AI-powered video generator that converts long-form content into short-form videos with captions.
• Reduced manual editing time by more than 5 hours per week and increased creator productivity by 60%.
• Achieved 91% caption alignment accuracy across multiple accents and languages.
• Scaled processing to 500+ videos monthly with optimized rendering and caching.

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Bot-Forge

Tech Stack: Node.js, Express, MongoDB, @xenova/transformers, pdf-parse, JWT, Winston

• Designed a chatbot API platform leveraging Retrieval-Augmented Generation (RAG) architecture.
• Achieved 92% query relevance accuracy across over 1,000 test prompts.
• Implemented secure JWT authentication and robust logging for reliability and maintainability.
• Demonstrated a 35% improvement in response relevance and a 25% reduction in latency compared to baseline models.

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Patent

IoT-Enabled Cradle for Infant — Registered Design No. 429193-001 (Granted on 03/09/2024)

• Co-invented a smart cradle integrating IoT features for real-time data monitoring and caregiver alerts.
• Registered under the Designs Act, 2000 (Class 06-02), covering innovative structural and functional elements.
• Focused on improving safety, comfort, and automation in infant care through data-driven mechanisms.

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Education

IIIT Naya Raipur — B.Tech in Computer Science (2023–2027) | CGPA: 8.32/10
DPS Vindhyanagar, Singrauli — CBSE Class XII (2023) | 88%
DPS Noida — CBSE Class X (2021) | 92%

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Contact

Email: [email protected]
LinkedIn: linkedin.com/in/abhi-ranjan-813908290
GitHub: github.com/AbhiRanjan33

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“Innovation starts where curiosity meets code.”