| # Build Small Hackathon — Master Strategy Report |
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| **For:** Sushruth | **Goal:** Win prize money, cover max sponsors, build 3 apps |
| **Hackathon:** Build Small (Hugging Face × Gradio) | **Status:** LIVE NOW (June 2026) |
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| ----- |
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| ## 1. Hackathon Overview |
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| |Detail |Info | |
| |-----------------------|-----------------------------------------------------------| |
| |**Host** |Hugging Face × Gradio | |
| |**Total Prize Pool** |$48,000+ cash + physical prizes | |
| |**Tracks** |Backyard AI + Adventure in Thousand Token Wood | |
| |**Format** |Gradio Spaces on HF org `build-small-hackathon` | |
| |**Model constraint** |Small models ≤ 32B parameters | |
| |**Participant credits**|$250 Modal + $100 Codex + $20 HF — for every registrant | |
| |**Awards stack?** |YES — one app can win track prize + multiple sponsor prizes| |
| |**Submissions** |Submit as many apps as you like | |
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| ----- |
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| ## 2. Complete Sponsor & Prize Map |
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| |Sponsor |Prize |How to Qualify |Models/Tools | |
| |-----------------------|---------------------------------------------------------|--------------------------------------------------------|--------------------------------------------------------------------------| |
| |**HuggingFace (Track)**|1st: $4k · 2nd: $2.5k · 3rd: $1.5k · 4th: $1k (per track)|Top placement in Backyard AI or Thousand Token Wood |Any small model ≤32B | |
| |**OpenBMB** |$5k pool per track ($10k total) |Use MiniCPM models as core brain |MiniCPM-V 4.6, MiniCPM-o 4.5, MiniCPM5-1B, MiniCPM4.1-8B, VoxCPM2 | |
| |**NVIDIA** |Two RTX 5080 GPUs (physical, ~$1,000 each) |Best space + community engagement using Nemotron |Nemotron-Nano, Nemotron-Omni, Nemotron-ASR, Nemotron-Parse, Nemotron-Embed| |
| |**OpenAI** |ChatGPT Pro subscription (1 year) |Codex-attributed commits in GitHub repo or Space history|OpenAI Codex (coding AI) | |
| |**Modal** |$20k credits for winners + $250 per participant |Build/deploy on Modal compute |Modal serverless GPU compute | |
| |**Cohere** |Part of prize pool |Use Tiny Aya or Cohere Transcribe |Tiny Aya (multilingual LLM) · Cohere Transcribe (ASR/voice) | |
| |**Black Forest Labs** |Prize (via track judge picks) |Use FLUX.2-klein for image generation |FLUX.2-klein (4B/9B diffusion) | |
| |**Community Choice** |$2,000 |Most likes/interactions on HF Space |Any — visual, shareable, emotional wins votes | |
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| ### Bonus Merit Badges (bonus on top — collect them all) |
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| - **Tiny Titan**: All models ≤ 4B |
| - **Custom UI**: Frontend beyond default Gradio (use `gr.Server`) |
| - **Fine-tuned model**: Publish a fine-tuned model on HF |
| - **llama.cpp runtime**: Run model via llama.cpp |
| - **Agent trace**: Share agent trace on Hub |
| - **Blog post**: Publish a write-up on HF blog |
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| ----- |
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| ## 3. Your 3 Ideas — Evaluated |
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| ### Your Idea 1: Smart Budget + Junk Food Tracker |
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| Receipt photo → OCR → categorize spending + junk food → budget advisor |
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| |Dimension |Score |Notes | |
| |-------------------------|----------|---------------------------------------------------------------------------| |
| |**Track fit** |⭐⭐⭐⭐⭐ |Perfect Backyard AI — real problem for a real person | |
| |**Uniqueness** |⭐⭐⭐⭐ |No existing app combines budget + junk food in one small-model Gradio Space| |
| |**Sponsor coverage** |⭐⭐⭐⭐⭐ |OpenBMB (MiniCPM-V) + Cohere (multilingual) + Modal (background) | |
| |**Your skills fit** |⭐⭐⭐⭐⭐ |Your CV/OCR/anomaly detection + RAG experience is directly applicable | |
| |**Buildability (3 days)**|⭐⭐⭐⭐ |Moderate — receipt OCR + budget logic + Gradio UI | |
| |**Prize potential** |⭐⭐⭐⭐⭐ |Track prize ($4k) + OpenBMB ($2.5k) + Modal ($10k credits) + Cohere | |
| |**Overall** |**9.5/10**|**Your strongest idea — build this first** | |
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| ### Your Idea 2: Kid Photo → Sketch + Painting Tool |
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| Photo → FLUX.2-klein line art → in-app canvas painting for kids |
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| |Dimension |Score |Notes | |
| |-------------------------|----------|---------------------------------------------------------------------| |
| |**Track fit** |⭐⭐⭐⭐⭐ |Perfect Thousand Token Wood — whimsical, visual, kid-focused | |
| |**Uniqueness** |⭐⭐⭐ |Many apps do photo-to-sketch; your angle is the in-app painting on HF| |
| |**Sponsor coverage** |⭐⭐⭐⭐ |Black Forest Labs (FLUX.2-klein) + OpenBMB (optional MiniCPM tips) | |
| |**Your skills fit** |⭐⭐⭐⭐ |Good — uses your CV/vision model experience | |
| |**Buildability (3 days)**|⭐⭐⭐ |Canvas JS overlay in Gradio is tricky but doable | |
| |**Prize potential** |⭐⭐⭐⭐ |Track prize + Black Forest Labs + Community Choice if shareable | |
| |**Overall** |**7.5/10**|Good secondary project for Thousand Token Wood | |
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| ### Your Idea 3: Voice-Cloned Bedtime Stories |
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| Mom records voice → MiniCPM generates story → VoxCPM2/XTTS narrates it in mom’s voice |
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| |Dimension |Score |Notes | |
| |-------------------------|----------|--------------------------------------------------------------------------------------------------| |
| |**Track fit** |⭐⭐⭐⭐⭐ |Thousand Token Wood — emotional, whimsical, clearly AI-powered | |
| |**Uniqueness** |⭐⭐⭐ |Many existing consumer apps (MomSays, Totora, MamaTales) do this, but none as small-model HF Space| |
| |**Sponsor coverage** |⭐⭐⭐⭐⭐ |OpenBMB (MiniCPM + VoxCPM2) + Cohere (multilingual + Transcribe) | |
| |**Your skills fit** |⭐⭐⭐⭐ |Good — uses your NLP + audio pipeline skills | |
| |**Buildability (3 days)**|⭐⭐⭐ |Voice cloning setup is time-consuming; VoxCPM2 is easiest path | |
| |**Prize potential** |⭐⭐⭐⭐⭐ |Track prize + OpenBMB + Cohere + Community Choice (parents share viral clips) | |
| |**Overall** |**8.5/10**|Strong secondary for Wood, especially with VoxCPM2 for OpenBMB alignment | |
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| ----- |
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| ## 4. Top 15 Ideas — Master Strategy Table |
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| ### Legend for Sponsor Coverage |
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| `MB` = MiniCPM/OpenBMB · `NV` = NVIDIA Nemotron · `CO` = Cohere · `BF` = Black Forest Labs · `MD` = Modal · `CX` = OpenAI Codex |
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| ----- |
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| ### Track A: Backyard AI (Real problems for real people) |
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| |Rank |App Name |Real Problem |Core AI Stack |Sponsors |Win Chance|Difficulty|Unique Angle | |
| |-----|---------------------------------------------------------------|-------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------|----------------------|----------|----------|-----------------------------------------------------------------------------------------------------------| |
| |**1**|**Smart Receipt + Budget Advisor** *(Your Idea 1)* |Students/immigrants overspend on junk food; can’t manage monthly budget |MiniCPM-V (OCR + classify) + Cohere Tiny Aya (multilingual advice) + Modal (background inference) |MB · CO · MD |**★★★★★** |Medium |Combines budget + junk food + nutrition goals in one app. You = real user. Receipt photo is fast proof. | |
| |**2**|**German Document Decoder** |Immigrants/students can’t understand Behördenbriefe, rental contracts, insurance docs|MiniCPM-V (doc reading + summarize) + Cohere Tiny Aya (translate to Turkish/Arabic/Hindi) + VoxCPM2 (read aloud)|MB · CO |**★★★★★** |Easy-Med |Very relevant in Germany. You can demo with a real Aachen neighbor. Multilingual = Cohere prize sweet spot.| |
| |**3**|**Lab Anomaly Detection Dashboard** *(Perplexity Idea 3)* |RWTH lab or student workshop has sensor/image data but no AI anomaly detection |MiniCPM-V (visual inspection) + Nemotron-Nano (reasoning/explanation) + Modal (batch inference) |MB · NV · MD |**★★★★** |Hard |Directly uses your robotics/CV/anomaly detection skills. NVIDIA GPU prize if Nemotron is core brain. | |
| |**4**|**Research Paper RAG Assistant** *(Perplexity Idea 1 enhanced)*|MSc/PhD students overwhelmed by papers, need summaries, Q&A, study plans |MiniCPM (RAG + Q&A on PDFs) + Nemotron-Embed (embedding) + Cohere Transcribe (voice Q&A) + Modal |MB · NV · CO · MD · CX|**★★★★** |Medium |Uses your RAG thesis experience directly. Stack 4+ sponsors. Build with Codex → Codex prize. | |
| |**5**|**Car Dashboard Warning Interpreter** |Non-technical drivers terrified by warning lights on dashboard |MiniCPM-V (photo → identify lights + explain + urgency) + Cohere (multilingual) |MB · CO |**★★★★** |Easy |Near-zero competition on HF. Every family member with a car is a real user. Fast to build. | |
| |**6**|**Local Shop Inventory AI** |Small Aachen shop owner takes shelf photos → needs stock count + reorder advice |MiniCPM-V (count items from image) + Nemotron-Nano (business reasoning) + Modal (background) |MB · NV · MD |**★★★** |Medium |Targets NVIDIA Nemotron (GPU prize) + OpenBMB. Good B2B Backyard AI story. | |
| |**7**|**On-Device Medication Helper (Elderly)** |Elderly parents confused by medication names, side effects, doctor notes |MiniCPM-V (read prescription/label) + Cohere Transcribe (voice input) + VoxCPM2 (audio output) |MB · CO |**★★★★** |Medium |Highly emotional story. “I built this for my grandparent.” Full voice-in/out pipeline = Cohere showcase. | |
| |**8**|**ADHD Focus Journal + Task Breaker** |People with ADHD struggle with task management, brain dumps, daily planning |Nemotron-Nano (break tasks into micro-steps) + Cohere Transcribe (voice dump) + MiniCPM (weekly insights) |MB · NV · CO |**★★★** |Medium |Note: competition exists (NeuroBait is already in hackathon). Differentiate with Nemotron reasoning. | |
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| ----- |
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| ### Track B: Thousand Token Wood (Creative, whimsical, AI-as-the-core) |
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| |Rank |App Name |Concept |Core AI Stack |Sponsors |Win Chance|Difficulty|Unique Angle | |
| |------|---------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|-----------------|----------|----------|-----------------------------------------------------------------------------------------------------------------------------------------| |
| |**9** |**Dream Visualizer + Interpreter** |User types or speaks a dream → AI interprets symbols → generates surreal art → reads it back |MiniCPM or Nemotron-Nano (symbolic analysis) + FLUX.2-klein (surreal art) + VoxCPM2 (narration) + Cohere Transcribe (voice input)|MB · NV · BF · CO|**★★★★★** |Medium |Covers 4 sponsors in one app. Dreams are deeply personal and shareable. NVIDIA GPU prize via Nemotron. Strong Community Choice candidate.| |
| |**10**|**Voice-Cloned Bedtime Stories** *(Your Idea 3 enhanced)*|Mom records voice → kid picks genre/theme → MiniCPM writes story → VoxCPM2 narrates in mom’s voice |MiniCPM5-1B (story gen) + VoxCPM2 (voice TTS with clone) + Cohere Tiny Aya (multilingual) |MB · CO |**★★★★★** |Med-Hard |VoxCPM2 is OpenBMB’s own TTS → perfect OpenBMB alignment. Emotional = viral = Community Choice votes. | |
| |**11**|**Kid Photo → Sketch + Paint** *(Your Idea 2 enhanced)* |Photo → line art sketch → kid paints on it in-browser |FLUX.2-klein + line art LoRA + MiniCPM (fun story about drawing) + custom JS canvas |MB · BF |**★★★★** |Med |Black Forest Labs prize alignment. Add story narration (MiniCPM) to differentiate from plain photo-to-sketch apps. | |
| |**12**|**Interactive Branching Story + AI Illustrations** |User picks genre + characters → Nemotron writes branching plot → FLUX.2-klein illustrates each scene |Nemotron-Nano (story + branching logic) + FLUX.2-klein (scene images) + Cohere Tiny Aya (multilingual) |NV · BF · CO |**★★★★** |Medium |NVIDIA GPU prize potential (Nemotron as story brain). Illustrated interactive fiction is visually stunning for demos. | |
| |**13**|**AI Plant Doctor + Fantasy Portrait** |Photo of plant → MiniCPM-V diagnoses health issue → FLUX.2-klein generates fantasy portrait of plant → care tips in plant’s “own voice”|MiniCPM-V (diagnosis) + FLUX.2-klein (portrait) + VoxCPM2 (plant voice TTS) |MB · BF |**★★★★** |Easy-Med |Extremely shareable (plant lovers post everywhere). Easy to demo. Covers Black Forest Labs + OpenBMB. Fast to build. | |
| |**14**|**Micro-Fiction Zine Generator** |1-sentence prompt → 3-panel story (MiniCPM) → 3 illustrations (FLUX.2-klein) → downloadable mini-zine PDF |MiniCPM5-1B (story panels) + FLUX.2-klein (panel art) + Cohere (multilingual) |MB · BF · CO |**★★★** |Easy-Med |PDF download is practical. Artists and writers will share their zines. Good Community Choice candidate. | |
| |**15**|**AI Neighborhood Simulator** |Tiny MiniCPM agents (baker, doctor, café owner) live in a neighborhood; user actions trigger agent reactions |MiniCPM5-1B × multiple agents + Modal (background simulation loop) + Nemotron-Embed (agent memory) |MB · NV · MD |**★★★** |Hard |Very creative — if it runs smoothly, it’s unforgettable. But risk of overengineering. Only attempt if time allows. | |
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| ## 5. Recommended 3-App Strategy — Maximum Prize Money |
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| The core principle: **each app should stack 3+ prize categories.** Awards stack completely. |
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| ----- |
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| ### App 1 — PRIMARY (Backyard AI) ⭐ Highest cash potential |
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| **Build: Smart Receipt + Budget + Junk Food Advisor** |
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| |Element |Detail | |
| |-----------------------|-----------------------------------------------------------------------------------------------------------------| |
| |**Track** |Backyard AI | |
| |**Real user** |You or a student friend in Aachen — use real receipts from REWE/Aldi | |
| |**Core model** |MiniCPM-V 4.6 (OCR + item extract + junk food classify + advice) | |
| |**Sponsor 2** |Cohere Tiny Aya — translate advice to user’s native language (Turkish/Hindi/etc.) | |
| |**Sponsor 3** |Modal — run inference jobs in background (batch receipt processing) | |
| |**Build with** |OpenAI Codex — commit Codex-attributed code → qualifies for ChatGPT Pro prize | |
| |**Badges to target** |Tiny Titan (all models ≤4B) · Custom UI · Blog post | |
| |**Demo proof** |5 real receipt photos → show junk food table, daily budget limit, monthly forecast | |
| |**Prize stack** |Backyard AI 1st ($4,000) + OpenBMB Backyard ($2,500) + Modal winner credits ($10,000) + Cohere pool + ChatGPT Pro| |
| |**Estimated potential**|**~$17,000+ in cash + credits** | |
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| **Feature scope (3 days):** |
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| 1. Receipt photo upload → MiniCPM-V extracts store, items, prices as JSON |
| 1. Junk food classifier → table showing (chips, soda, cake) vs (bread, vegetables, etc.) |
| 1. Budget tracker → set €500/month → shows daily limit, remaining budget, overspend warning |
| 1. AI advice → “You spent €38 on chips this month. Cut to once a week → save €25/month.” |
| 1. Optional: Cohere Tiny Aya → all advice output in user’s native language |
| 1. Optional: Modal → run MiniCPM inference in background for batch receipts |
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| ----- |
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| ### App 2 — SECONDARY (Thousand Token Wood) ⭐ Emotional + multi-sponsor |
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| **Build: Dream Visualizer + Interpreter** |
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| |Element |Detail | |
| |-----------------------|------------------------------------------------------------------------------------------------------------------------------------------------| |
| |**Track** |Thousand Token Wood | |
| |**Concept** |User types or speaks a dream → AI analyzes symbols → generates surreal art → narrates the interpretation | |
| |**Core model** |Nemotron-Nano (deep symbolic/psychological reasoning about dream content) | |
| |**Sponsor 2** |FLUX.2-klein (Black Forest Labs) — surreal/dreamlike image of the dream | |
| |**Sponsor 3** |VoxCPM2 (OpenBMB) — narrates the interpretation in a calm, atmospheric voice | |
| |**Sponsor 4** |Cohere Transcribe — user speaks their dream instead of typing | |
| |**Sponsor 5** |Modal — run FLUX generation as background job | |
| |**NVIDIA angle** |Nemotron-Nano as the reasoning core → qualifies for RTX 5080 GPU prize | |
| |**Demo proof** |Record yourself speaking a dream → show generated art + interpretation → clip for social media | |
| |**Prize stack** |Thousand Token Wood 1st ($4,000) + OpenBMB Wood ($2,500) + NVIDIA RTX 5080 GPU ($1,000) + Black Forest Labs + Cohere + Community Choice ($2,000)| |
| |**Estimated potential**|**~$10,000+ in cash + GPU + credits** | |
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| **Feature scope (3 days):** |
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| 1. Text input OR voice input (Cohere Transcribe) of a dream |
| 1. Nemotron-Nano: analyze dream symbols → produce structured interpretation (themes, emotions, meaning) |
| 1. FLUX.2-klein: generate a surreal dream-scene image from key symbols |
| 1. VoxCPM2: narrate the interpretation in a calm, atmospheric voice |
| 1. Gallery: show past dreams + their art |
| 1. Share button → downloads art + text for social sharing (viral = Community Choice votes) |
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| ----- |
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| ### App 3 — BOOSTER (Thousand Token Wood or Backyard AI) ⭐ Cover remaining sponsors |
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| **Build: Voice-Cloned Bedtime Stories** (Your Idea 3 — upgraded) |
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| |Element |Detail | |
| |-----------------------|---------------------------------------------------------------------------------------------------------------| |
| |**Track** |Thousand Token Wood | |
| |**Concept** |Mom records voice (30 sec) → kid picks genre → MiniCPM generates story → VoxCPM2 narrates in mom’s cloned voice| |
| |**Core model** |MiniCPM5-1B (story generation — short, age-appropriate, genre-based) | |
| |**Sponsor 2** |VoxCPM2 (OpenBMB’s own TTS/voice clone) — deepens OpenBMB prize case | |
| |**Sponsor 3** |Cohere Tiny Aya — multilingual (generate + narrate story in German/Hindi/Arabic) | |
| |**Why this as App 3** |Covers OpenBMB (VoxCPM2) and Cohere again from a different angle, and is highly viral for Community Choice | |
| |**Demo proof** |Record mom/friend’s voice → show kid UI → play story in their voice → parents will share the clip | |
| |**Prize stack** |Thousand Token Wood 2nd/3rd ($1,500–$2,500) + Community Choice ($2,000) + Cohere pool | |
| |**Estimated potential**|**~$4,000–$6,000 in cash + credits** | |
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| **Feature scope (3 days):** |
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| 1. Voice recording UI (30-60 sec) — record or upload WAV |
| 1. VoxCPM2 voice clone creation from reference audio |
| 1. Kid-friendly genre selector: King, Animal, Space, Adventure, Fairy Tale |
| 1. MiniCPM5-1B: generate 2-minute age-appropriate story from genre + kid’s name |
| 1. VoxCPM2: TTS narration in cloned voice → audio player |
| 1. Optional: Cohere Tiny Aya → generate story in German/Hindi/Turkish |
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| ----- |
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| ## 6. Prize Stacking Calculator (Realistic Estimate) |
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| |Prize Category |App 1 (Budget)|App 2 (Dreams) |App 3 (Stories)|Total | |
| |----------------------|--------------|-----------------|---------------|-------------------------------------------| |
| |Track 1st place |$4,000 |— |— |$4,000 | |
| |Track 2nd/3rd |— |$2,500–$4,000 |$1,500–$2,500 |$4,000–$6,500 | |
| |OpenBMB (per track) |$2,500 |$2,500 |— |$5,000 | |
| |NVIDIA RTX 5080 GPU |— |$1,000 (physical)|— |$1,000 | |
| |Modal credits (winner)|$10,000 |$7,000 |— |$17,000 | |
| |Cohere pool |Partial |Partial |Partial |~$1,500 | |
| |Community Choice |— |$2,000 |$2,000 |$2,000–$4,000 | |
| |ChatGPT Pro (Codex) |✓ |— |— |Subscription | |
| |**Realistic total** | | | |**$30,000–$38,000 in cash + credits + GPU**| |
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| > Note: Modal credits are cloud compute credits, not cash. Still very valuable for your thesis work. |
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| ----- |
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| ## 7. Design Guide — How to Make Each App Look Beautiful |
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| Judges see hundreds of default Gradio apps. A great UI can win the **Custom UI merit badge** and push you from 3rd to 1st. |
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| ### General Rules for All 3 Apps |
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| - Use `gr.Server` with custom CSS — move beyond default Gradio theme |
| - Custom font (Google Fonts CDN via `gr.HTML`) — Poppins or Inter looks clean |
| - Color scheme: pick 2 accent colors + white/dark background |
| - Add app logo (generate with FLUX.2-klein itself for irony points) |
| - Mobile-friendly (HF Spaces run on mobile too — judges may check on phone) |
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| ### App 1 — Budget Tracker |
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| ``` |
| Color scheme: Deep navy (#1B2A4A) + Fresh green (#27AE60) + White |
| Layout: |
| - Top: Upload receipt button + camera icon |
| - Middle: 3-column dashboard (Spent / Remaining / Daily Limit) as big bold numbers |
| - Bottom: Junk Food Table (red items) vs Healthy Table (green items) |
| - Right panel: AI Advice chat bubble (conversational, not a wall of text) |
| ``` |
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| - Make the budget numbers BIG (like a fitness app shows calories) |
| - Red/green color coding: junk = red row, healthy = green row |
| - Progress bar for monthly budget (like a fuel gauge) |
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| ### App 2 — Dream Visualizer |
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| ``` |
| Color scheme: Deep purple (#1A0533) + Electric blue (#4A90E2) + Gold (#F5C518) |
| Layout: |
| - Hero: Dark gradient background with floating particle effect (CSS) |
| - Center: Mic button (voice input) OR text area — minimal, atmospheric |
| - Result: Full-width dream art image with interpretation text overlaid at bottom |
| - Footer: Gallery of past dreams (polaroid card style) |
| ``` |
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| - This app should LOOK like a dream — dark, mystical, premium |
| - Generate the app header art itself with FLUX.2-klein |
| - Play a soft ambient sound loop on load (optional, via gr.Audio autoplay) |
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| ### App 3 — Bedtime Stories |
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| ``` |
| Color scheme: Soft cream (#FFF8E7) + Sky blue (#5DADE2) + Moon yellow (#F9E04B) |
| Layout: |
| - Step 1: Big "Record Mom's Voice" button with moon/star icons |
| - Step 2: Genre cards with illustrations (4-5 colorful cards with kid icons) |
| - Step 3: Story player — large play button, star animation while playing |
| - Background: Subtle starfield animation (CSS keyframes) |
| ``` |
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| - Use big rounded buttons, large font sizes (for kids but also for demo wow factor) |
| - Generate genre card illustrations with FLUX.2-klein |
| - Keep instructions in 3 steps only — no walls of text |
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| ----- |
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| ## 8. Execution Plan (3 Apps in ~7 Days) |
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| |Day |Tasks | |
| |---------|-----------------------------------------------------------------------------------------------------------------------| |
| |**Day 1**|Set up HF Space, Gradio scaffold, test MiniCPM-V API locally. Get first receipt OCR working for App 1. | |
| |**Day 2**|Complete App 1 core (OCR + junk food classifier + budget logic). Add Cohere multilingual. Polish UI. | |
| |**Day 3**|Deploy App 1 on Modal + HF Space. Record demo with real receipts. Publish blog post. | |
| |**Day 4**|Build App 2 (Dream Visualizer) — Nemotron reasoning + FLUX.2-klein image gen. Voice input via Cohere Transcribe. | |
| |**Day 5**|App 2 VoxCPM2 narration + UI polish (the dark atmospheric design). Add gallery. Deploy + share on social. | |
| |**Day 6**|Build App 3 (Bedtime Stories) — VoxCPM2 voice clone + MiniCPM story gen + kid UI. | |
| |**Day 7**|Final polish on all 3 apps. Write READMEs with frontmatter tags. Record demo videos. Post on social (Twitter/LinkedIn).| |
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| ----- |
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| ## 9. Winning Checklist for Each App |
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| Before submitting each Space, verify: |
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| - [ ] Deployed in `build-small-hackathon` org on HF |
| - [ ] README includes frontmatter tags (track, sponsors, model names) |
| - [ ] Demo video recorded and linked in README |
| - [ ] Real user proof in README (quote, screenshot, use case) |
| - [ ] GitHub repo connected with Codex-attributed commits (App 1 especially) |
| - [ ] Model size confirmed ≤ 32B (ideally ≤ 4B for Tiny Titan badge) |
| - [ ] Blog post published on HF blog (counts as merit badge) |
| - [ ] Social post shared (HF, Twitter/X, LinkedIn) to drive Community Choice votes |
| - [ ] Modal deployment configured (for App 1 and App 2) |
| - [ ] Cohere Transcribe or Tiny Aya integrated (App 1 + App 2 + App 3) |
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| ----- |
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| ## 10. Quick Model Reference |
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| |Model |Size |Use Case |Sponsor |API/Hosted | |
| |-----------------|-----|-----------------------------------------------|-----------------|-------------------------| |
| |MiniCPM-V 4.6 |~8B |OCR, image understanding, receipt reading |OpenBMB |HF hosted / OpenBMB API | |
| |MiniCPM5-1B |1B |Text generation, story writing, advice |OpenBMB |Local / HF Spaces ZeroGPU| |
| |MiniCPM4.1-8B |8B |Reasoning, complex instructions |OpenBMB |HF hosted | |
| |VoxCPM2 |Small|Voice cloning + TTS |OpenBMB |HF Space | |
| |Nemotron-Nano |8B |Reasoning, deep analysis (dreams, anomalies) |NVIDIA |NVIDIA API | |
| |Nemotron-Embed |340M |Embeddings for RAG/memory |NVIDIA |NVIDIA API | |
| |FLUX.2-klein |4B/9B|Image generation, dream art, portraits |Black Forest Labs|HF Spaces ZeroGPU | |
| |Cohere Tiny Aya |3.35B|Multilingual text, translation |Cohere |Cohere API (free tier) | |
| |Cohere Transcribe|— |Speech-to-text, voice input |Cohere |Cohere API | |
| |XTTS-v2 |335M |Alternative voice cloning (if VoxCPM2 too slow)|Open source |HF: coqui/XTTS-v2 | |
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| *Report compiled June 2026. Hackathon is LIVE — start building today.* |
