10 Solved Generative AI Projects to Boost your Profile 

Initiatives are the bridge between studying and turning into an expert. Whereas concept builds fundamentals, recruiters worth candidates who can resolve actual issues. A robust, various portfolio showcases sensible abilities, technical vary, and problem-solving capability. 

This information compiles 10 solved initiatives throughout AI domains, from primary machine studying to superior generative AI system. The instruments and libraries used for creating them have additionally been talked about to help in selecting the correct venture.

1. AI-Powered Search Engine

Construct an AI-powered search engine that mixes net search, embeddings, reranking, and an LLM to return direct, source-backed solutions as a substitute of a listing of hyperlinks.

The venture can help totally different search modes, supply citations, and specialised searches similar to educational or YouTube outcomes. Use Perplexica as a reference for the structure, then construct your individual model with quick search and a deeper analysis mode.

Instruments and Libraries: Python, Subsequent.js, SearXNG, Ollama, embeddings, vector search, LLM APIs 

What You’ll Study: Search pipelines, retrieval, reranking, embeddings, grounding, supply attribution, and LLM utility design. 

Supply Code: Perplexica GitHub Repository 

2. Multimodal AI Podcast Generator

Flip articles, PDFs, URLs, photographs, or textual content right into a podcast that appears like a dialog between a number of hosts.

The venture ought to ingest various kinds of supply materials, extract the important thing data, and generate a structured dialogue earlier than changing it into audio. Use Podcastfy as a reference for the workflow, then construct your individual interface the place customers can add sources, select a podcast model and hosts, and generate the ultimate episode.

Instruments and Libraries: Python, Gemini/OpenAI/Anthropic APIs, OpenAI TTS, ElevenLabs, podcastfy, Gradio 

What You’ll Study: Multimodal ingestion, LLM prompting, dialogue era, TTS, audio processing, and long-form content material era. 

Supply Code: Podcastfy GitHub Repository 

3. AI Music Technology Studio

Construct a music-generation utility that turns natural-language prompts and lyrics into full songs.

The venture ought to let customers management parts similar to style, tempo, instrumentation, lyrics, and construction, whereas additionally supporting remixing and reference audio. Use ACE-Step as a reference for the underlying workflow, then construct your individual interface that may generate and examine a number of variations of a observe.

Instruments and Libraries: Python, PyTorch, ACE-Step, Gradio, CUDA, Hugging Face 

What You’ll Study: Diffusion fashions, audio era, conditioning, GPU inference, audio processing, and generative media. 

Supply Code: ACE-Step GitHub Repository 

4. Audio + Video Technology App

Construct a generative video utility that creates synchronized audio and video from a single immediate.

The venture can help text-to-video, image-to-video, keyframe conditioning, and video transformation, utilizing LTX-2 as a reference for the underlying workflow. Construct your individual interface the place customers describe a scene, generate the video with its soundtrack, and refine it utilizing keyframes or reference photographs.

Instruments and Libraries: Python, PyTorch, LTX-2, ComfyUI, Diffusers, CUDA 

What You’ll Study: Video diffusion, audio-video synchronization, conditioning, GPU inference, keyframes, and generative media pipelines. 

Supply Code: LTX-Video GitHub Repository 

Construct a video-dubbing device that synchronizes a speaker’s lip actions with a brand new audio observe.

Use LatentSync as a reference for the lip-sync pipeline, then construct your individual interface the place customers add a video, add translated audio, generate the synchronized model, and export the ultimate video.

Instruments and Libraries: Python, PyTorch, Whisper, Secure Diffusion, LatentSync, FFmpeg, CUDA 

What You’ll Study: Diffusion fashions, audio conditioning, video processing, temporal consistency, and AI dubbing. 

Supply Code: LatentSync GitHub Repository 

6. Lengthy-Type Multi-Speaker Voice Generator

Construct an utility that turns a written script right into a pure dialog between a number of AI audio system.

Use VibeVoice as a reference for producing long-form, multi-speaker audio, then construct your individual interface the place an LLM creates the dialogue, customers assign voices to every speaker, and the system produces a whole podcast or audiobook.

Instruments and Libraries: Python, PyTorch, VibeVoice, Transformers, Gradio, CUDA 

What You’ll Study: Neural TTS, speaker conditioning, long-form era, dialogue synthesis, voice cloning, and audio pipelines. 

Supply Code: VibeVoice Community Repository

8. AI Picture Modifying Studio

Construct an AI picture editor that lets customers modify current photographs utilizing natural-language directions.

Use OmniGen2 as a reference for instruction-guided picture enhancing, then construct your individual interface the place customers can add a picture and make modifications similar to eradicating objects, altering colours, or changing backgrounds with easy prompts.

Instruments and Libraries: Python, PyTorch, OmniGen2, Gradio, Hugging Face, ComfyUI 

What You’ll Study: Multimodal prompting, picture conditioning, picture enhancing, diffusion fashions, and visible era. 

Supply Code: OmniGen2 GitHub Repository 

9. AI Presentation Generator

Construct an AI presentation generator that turns a subject, doc, dataset, or current presentation into an editable PowerPoint deck.

Use Presenton as a reference for the workflow, then construct your individual model with a analysis stage that gathers data, creates an overview, selects layouts, generates visuals, and exports the completed presentation as an editable PPTX.

Instruments and Libraries: TypeScript, React, Python, PPTX era, LLM APIs, image-generation APIs 

What You’ll Study: Structured era, doc processing, presentation automation, template methods, multimodal AI, and API integration. 

Supply Code: Presenton GitHub Repository 

10. Deep Analysis Assistant

Construct an AI analysis assistant that breaks down a query, searches a number of sources, verifies findings, and compiles the outcomes right into a structured report.

Use DeepResearch as a reference for the analysis workflow, then construct your individual model with supply retrieval, parallel analysis, and chronic context. Have the ultimate report embrace citations, supply snippets, conflicting claims, and a bibliography as a substitute of a single generated reply.

Instruments and Libraries: Python, FastAPI, LLM APIs or native LLMs, SearXNG, vector search, data graphs, Docker 

What You’ll Study: Multi-step LLM workflows, retrieval, analysis planning, data graphs, supply verification, and report era. 

Supply Code: DeepResearch GitHub Repository 

Conclusion

These 10 initiatives cowl very totally different elements of the present Generative AI stack. You possibly can work with net search, multimodal inputs, audio, music, video, picture enhancing, displays, analysis methods, and natural-language information evaluation. 

The vital half is to take the reference implementation additional. Add your individual interface, introduce analysis, deal with failures, expose an API, or mix a number of fashions into one workflow. That’s what turns an open-source demo right into a venture value placing on a portfolio. 

Learn extra: 20+ Solved AI Initiatives for Your Resume

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